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114
🙋🏻♂️ Normalize adding compute & runtime traces to your model cards
AI & ML interests
Building interactive demos to scikit-learn examples 🧡
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prithivMLmods
posted
an
update
3 days ago
Post
2245
Demo of OCR & Math QA using multi-capable VLMs like MonkeyOCR-pro-1.2B, R1-One-Vision, VisionaryR1, Vision Matters-7B, and VIGAL-7B, all running together with support for both image and video inference. 🪐
✦ Demo Spaces :
⤷ Multimodal VLMs : prithivMLmods/Multimodal-VLMs
✦ Models :
⤷ Visionary R1 : maifoundations/Visionary-R1
⤷ MonkeyOCR [1.2B] : echo840/MonkeyOCR-pro-1.2B
⤷ ViGaL 7B : yunfeixie/ViGaL-7B
⤷ Lh41-1042-Magellanic-7B-0711 : prithivMLmods/Lh41-1042-Magellanic-7B-0711
⤷ Vision Matters 7B : Yuting6/Vision-Matters-7B
⤷ WR30a-Deep-7B-0711 : prithivMLmods/WR30a-Deep-7B-0711
✦ MonkeyOCR-pro-1.2B Colab T4 Demo [ notebook ]
⤷ MonkeyOCR-pro-1.2B-ReportLab : https://github.com/PRITHIVSAKTHIUR/OCR-ReportLab/blob/main/MonkeyOCR-0709/MonkeyOCR-pro-1.2B-ReportLab.ipynb
✦ GitHub : https://github.com/PRITHIVSAKTHIUR/OCR-ReportLab
The community GPU grant was given by Hugging Face — special thanks to them.🤗🚀
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To know more about it, visit the model card of the respective model. !!
✦ Demo Spaces :
⤷ Multimodal VLMs : prithivMLmods/Multimodal-VLMs
✦ Models :
⤷ Visionary R1 : maifoundations/Visionary-R1
⤷ MonkeyOCR [1.2B] : echo840/MonkeyOCR-pro-1.2B
⤷ ViGaL 7B : yunfeixie/ViGaL-7B
⤷ Lh41-1042-Magellanic-7B-0711 : prithivMLmods/Lh41-1042-Magellanic-7B-0711
⤷ Vision Matters 7B : Yuting6/Vision-Matters-7B
⤷ WR30a-Deep-7B-0711 : prithivMLmods/WR30a-Deep-7B-0711
✦ MonkeyOCR-pro-1.2B Colab T4 Demo [ notebook ]
⤷ MonkeyOCR-pro-1.2B-ReportLab : https://github.com/PRITHIVSAKTHIUR/OCR-ReportLab/blob/main/MonkeyOCR-0709/MonkeyOCR-pro-1.2B-ReportLab.ipynb
✦ GitHub : https://github.com/PRITHIVSAKTHIUR/OCR-ReportLab
The community GPU grant was given by Hugging Face — special thanks to them.🤗🚀
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To know more about it, visit the model card of the respective model. !!
Post
2884
GitHub refuses to render notebooks for a long time now 💔
so smol-vision now lives in Hugging Face model repository 🤗 merve/smol-vision
so smol-vision now lives in Hugging Face model repository 🤗 merve/smol-vision
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- 1 reply
Post
3318
ByteDance released Tar 1.5B and 7B: image-text in image-text out models, fully open-source 👏
ByteDance-Seed/tar-6864cf0d9fe59a3b91cc4260
They have an image tokenizer unified with text, and they de-tokenize using either of two models (LLM and diffusion)
The model is actually a full LLM (Qwen2), the tokenizer converts image tokens 🤯
They have an image tokenizer unified with text, and they de-tokenize using either of two models (LLM and diffusion)
The model is actually a full LLM (Qwen2), the tokenizer converts image tokens 🤯
Post
3589
Huge drops in open AI past week!
Find more models, datasets, demos here merve/releases-july-4-686bcc54ed7c45c341fbf654
Some of our picks 🫡
⏯️ BAAI/MTVCraft is a new Veo3-like text-to-video model, demo is here BAAI/MTVCraft
🧑🏻💻 apple/diffucoder-6868139f56672ae046fe04e8 is a new family of diffusion LLMs (7B base and instruct) for coding
🗣️ kyutai/tts-1.6b-en_fr is a new small TTS model for English and France
👀 aharley/alltracker is a new pixel tracking model by Stanford, demo is here aharley/alltracker
📖 racineai/OGC_MEGA_MultiDomain_DocRetrieval is a new large visual document retrieval dataset
Find more models, datasets, demos here merve/releases-july-4-686bcc54ed7c45c341fbf654
Some of our picks 🫡
⏯️ BAAI/MTVCraft is a new Veo3-like text-to-video model, demo is here BAAI/MTVCraft
🧑🏻💻 apple/diffucoder-6868139f56672ae046fe04e8 is a new family of diffusion LLMs (7B base and instruct) for coding
🗣️ kyutai/tts-1.6b-en_fr is a new small TTS model for English and France
👀 aharley/alltracker is a new pixel tracking model by Stanford, demo is here aharley/alltracker
📖 racineai/OGC_MEGA_MultiDomain_DocRetrieval is a new large visual document retrieval dataset
- 1 reply
Post
401
Who's going to Raise Summit in Paris Tomorrow ?
If you're around , I would love to meet you :-)
If you're around , I would love to meet you :-)
prithivMLmods
posted
an
update
10 days ago
Post
3464
Multimodal OCR with ReportLab? On Colab T4? (Nanonets OCR, Monkey OCR, OCRFlux 3B, Typhoo OCR 3B?) .. Yeah, it’s possible. I’ve made a dedicated Colab notebook to experiment with these models (all built on top of Qwen2.5 VL). 🤗🚀
Download notebooks here :
✦︎ NanonetsOCR : https://colab.research.google.com/drive/1VvA-amvSVxGdWgIsh4_by6KWOtEs_Iqp
✦︎ MonkeyOCR : https://colab.research.google.com/drive/1vPCojbmlXjDFUt06FJ1tjgnj_zWK4mUo
✦︎ OCRFluxOCR : https://colab.research.google.com/drive/1TDoCXzWdF2hxVLbISqW6DjXAzOyI7pzf
✦︎ TyphoonOCR : https://colab.research.google.com/drive/1_59zvLNnn1kvbiSFxzA1WiqhpbW8RKbz
🜲 Github : https://github.com/PRITHIVSAKTHIUR/OCR-ReportLab
What does it do?
1. Performs OCR on the input image
2. Generates a DOCX or PDF file with the input image and the extracted text
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To know more about it, visit the model card of the respective model. !!
Download notebooks here :
✦︎ NanonetsOCR : https://colab.research.google.com/drive/1VvA-amvSVxGdWgIsh4_by6KWOtEs_Iqp
✦︎ MonkeyOCR : https://colab.research.google.com/drive/1vPCojbmlXjDFUt06FJ1tjgnj_zWK4mUo
✦︎ OCRFluxOCR : https://colab.research.google.com/drive/1TDoCXzWdF2hxVLbISqW6DjXAzOyI7pzf
✦︎ TyphoonOCR : https://colab.research.google.com/drive/1_59zvLNnn1kvbiSFxzA1WiqhpbW8RKbz
🜲 Github : https://github.com/PRITHIVSAKTHIUR/OCR-ReportLab
What does it do?
1. Performs OCR on the input image
2. Generates a DOCX or PDF file with the input image and the extracted text
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To know more about it, visit the model card of the respective model. !!
Post
894
SOOOO MANY MODEL RELEASES 😍
Here's some picks from past week 🤗
> ByteDance/XVerse is a new identity preserving image generation model 🖼️
> google/gemma-3n-E4B-it, any-to-text model supported by transformers 🤗
> nvidia/llama-nemoretriever-colembed-3b-v1 two new state-of-the-art visual document retrievers 📑
> New version of Dia TTS model is up nari-labs/Dia-1.6B-0626
> Black Forest Labs releases Kontext benchmark black-forest-labs/kontext-bench
Find more here merve/releases-june-27-6864e8eb17f7e3a8b444083c
Here's some picks from past week 🤗
> ByteDance/XVerse is a new identity preserving image generation model 🖼️
> google/gemma-3n-E4B-it, any-to-text model supported by transformers 🤗
> nvidia/llama-nemoretriever-colembed-3b-v1 two new state-of-the-art visual document retrievers 📑
> New version of Dia TTS model is up nari-labs/Dia-1.6B-0626
> Black Forest Labs releases Kontext benchmark black-forest-labs/kontext-bench
Find more here merve/releases-june-27-6864e8eb17f7e3a8b444083c
Post
2978
visual reasoning is now in transformers 🔥
THUDM/GLM-4.1V-9B-Thinking is just released and merged into transformers, we gave it a vibe test run 🤠
it's very good, comes with 64k context length and MIT license 😍
it supports 4k image tokens and any aspect ratio as well!
Notebook: http://colab.research.google.com/drive/1atODIiV57hOZLv16Bjzwd6fwx0yoTorj?usp=sharing
Demo: THUDM/GLM-4.1V-9B-Thinking-Demo
THUDM/GLM-4.1V-9B-Thinking is just released and merged into transformers, we gave it a vibe test run 🤠
it's very good, comes with 64k context length and MIT license 😍
it supports 4k image tokens and any aspect ratio as well!
Notebook: http://colab.research.google.com/drive/1atODIiV57hOZLv16Bjzwd6fwx0yoTorj?usp=sharing
Demo: THUDM/GLM-4.1V-9B-Thinking-Demo
prithivMLmods
posted
an
update
12 days ago
Post
1637
The bunch of comparable demos for Multimodal VLMs (excels in OCR, cinematography understanding, spatial reasoning, etc.) now up on the Hub 🤗 — max recent till Jun'25.
✦ Demo Spaces —
> [Nanonets-OCR-s, MonkeyOCR, Typhoon-OCR-7B, SmolDocling] : prithivMLmods/Multimodal-OCR2
> [GLM-4.1v, docscopeOCR-7B, MonkeyOCR, coreOCR-7B] : prithivMLmods/core-OCR
> [Camel-Doc-OCR, ViLaSR-7B, OCRFlux-3B, ShotVL-7B] : prithivMLmods/Doc-VLMs-v2-Localization
> [SkyCaptioner-V1, SpaceThinker-3B, coreOCR-7B, SpaceOm-3B] : prithivMLmods/VisionScope-R2
> [RolmOCR-7B, Qwen2-VL-OCR-2B, Aya-Vision-8B, Nanonets-OCR-s] : prithivMLmods/Multimodal-OCR
> [DREX-062225-7B, Typhoon-OCR-3B, olmOCR-7B-0225, VIREX-062225-7B] : prithivMLmods/Doc-VLMs-OCR
> [Cosmos-Reason1-7B, docscopeOCR-7B, Captioner-7B, visionOCR-3B] : prithivMLmods/DocScope-R1
✦ Space Collection : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
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To know more about it, visit the model card of the respective model. !!
✦ Demo Spaces —
> [Nanonets-OCR-s, MonkeyOCR, Typhoon-OCR-7B, SmolDocling] : prithivMLmods/Multimodal-OCR2
> [GLM-4.1v, docscopeOCR-7B, MonkeyOCR, coreOCR-7B] : prithivMLmods/core-OCR
> [Camel-Doc-OCR, ViLaSR-7B, OCRFlux-3B, ShotVL-7B] : prithivMLmods/Doc-VLMs-v2-Localization
> [SkyCaptioner-V1, SpaceThinker-3B, coreOCR-7B, SpaceOm-3B] : prithivMLmods/VisionScope-R2
> [RolmOCR-7B, Qwen2-VL-OCR-2B, Aya-Vision-8B, Nanonets-OCR-s] : prithivMLmods/Multimodal-OCR
> [DREX-062225-7B, Typhoon-OCR-3B, olmOCR-7B-0225, VIREX-062225-7B] : prithivMLmods/Doc-VLMs-OCR
> [Cosmos-Reason1-7B, docscopeOCR-7B, Captioner-7B, visionOCR-3B] : prithivMLmods/DocScope-R1
✦ Space Collection : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
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To know more about it, visit the model card of the respective model. !!
- 1 reply
Post
1686
Anyone know how to reset Claude web's MCP config? I connected mine when the HF MCP first released with just the default example spaces added. I added lots of other MCP spaces but Claude.ai doesn't update the available tools... "Disconnecting" the HF integration does nothing, deleting it and adding it again does nothing.
Refreshing tools works fine in VS Code because I can manually restart it in
Refreshing tools works fine in VS Code because I can manually restart it in
mcp.json, but claude.ai has no such option. Anyone got any ideas?
- 3 replies
Post
2502
so many multimodal releases these days 🤠
> ERNIE-4.5-VL: new vision language MoE models by Baidu https://huggingface.co/models?search=ernie-4.5-vl
> new visual document retrievers by NVIDIA (sota on ViDoRe!) nvidia/llama-nemoretriever-colembed-3b-v1 nvidia/llama-nemoretriever-colembed-1b-v1
> Ovis-3b: new image-text in image-text out models by Alibaba ⤵️ https://huggingface.co/spaces/AIDC-AI/Ovis-U1-
> ERNIE-4.5-VL: new vision language MoE models by Baidu https://huggingface.co/models?search=ernie-4.5-vl
> new visual document retrievers by NVIDIA (sota on ViDoRe!) nvidia/llama-nemoretriever-colembed-3b-v1 nvidia/llama-nemoretriever-colembed-1b-v1
> Ovis-3b: new image-text in image-text out models by Alibaba ⤵️ https://huggingface.co/spaces/AIDC-AI/Ovis-U1-
prithivMLmods
posted
an
update
13 days ago
Post
2397
The demo for Camel-Doc-OCR-062825 (exp) is optimized for document retrieval and direct Markdown (.md) generation from images and PDFs. Additional demos include OCRFlux-3B (document OCR), VilaSR (spatial reasoning with visual drawing), and ShotVL (cinematic language understanding). 🐪
✦ Space : prithivMLmods/Doc-VLMs-v2-Localization
Models :
⤷ camel-doc-ocr-062825 : prithivMLmods/Camel-Doc-OCR-062825
⤷ ocrflux-3b : ChatDOC/OCRFlux-3B
⤷ vilasr : AntResearchNLP/ViLaSR
⤷ shotvl : Vchitect/ShotVL-7B
⤷ Multimodal Implementations : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
The community GPU grant was given by Hugging Face — special thanks to them. This space supports the following tasks: (image inference, video inference) with result markdown canvas and object detection/localization. 🤗🚀
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To know more about it, visit the model card of the respective model. !!
✦ Space : prithivMLmods/Doc-VLMs-v2-Localization
Models :
⤷ camel-doc-ocr-062825 : prithivMLmods/Camel-Doc-OCR-062825
⤷ ocrflux-3b : ChatDOC/OCRFlux-3B
⤷ vilasr : AntResearchNLP/ViLaSR
⤷ shotvl : Vchitect/ShotVL-7B
⤷ Multimodal Implementations : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
The community GPU grant was given by Hugging Face — special thanks to them. This space supports the following tasks: (image inference, video inference) with result markdown canvas and object detection/localization. 🤗🚀
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To know more about it, visit the model card of the respective model. !!
Post
585
Dataset Viewer for PDFs just landed on Hugging Face 📖🤗 you can now preview all the PDFs easier than before!
on top of this, there's PdfFolder format to load the PDF datasets quicker 💨
> to use it, your dataset should follow a directory format like folder/train/doc1.pdf, folder/train/doc1.pdf
> if you want to include bounding boxes, labels etc. you can keep them in a metadata.csv file in the same folder 🤝
read document dataset docs https://huggingface.co/docs/datasets/main/en/document_dataset
check all the document datasets here https://huggingface.co/datasets?modality=modality:document&sort=trending 📖
on top of this, there's PdfFolder format to load the PDF datasets quicker 💨
> to use it, your dataset should follow a directory format like folder/train/doc1.pdf, folder/train/doc1.pdf
> if you want to include bounding boxes, labels etc. you can keep them in a metadata.csv file in the same folder 🤝
read document dataset docs https://huggingface.co/docs/datasets/main/en/document_dataset
check all the document datasets here https://huggingface.co/datasets?modality=modality:document&sort=trending 📖
- 1 reply
prithivMLmods
posted
an
update
19 days ago
Post
1967
The demo for DREX-062225-exp (Document Retrieval and Extraction eXpert ~ experimental) / typhoon-ocr-3b (a bilingual document parsing model built specifically for real-world documents) / VIREX-062225-exp (Video Information Retrieval and Extraction eXpert ~ experimental) / olmOCR-7B-0225-preview (the document parsing model based on Qwen2VL). 🤗
✦ Demo : prithivMLmods/Doc-VLMs-OCR ~ ( with .md canvas )
⤷ DREX-062225-exp : prithivMLmods/DREX-062225-exp
⤷ typhoon-ocr-3b : scb10x/typhoon-ocr-3b
⤷ VIREX-062225-exp : prithivMLmods/VIREX-062225-exp
⤷ olmOCR-7B-0225-preview : allenai/olmOCR-7B-0225-preview
⤷ Collection : prithivMLmods/doc-vl-685839064a863e1cd23be3f1
⤷ Multimodal Implementations : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
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To know more about it, visit the model card of the respective model. !!
✦ Demo : prithivMLmods/Doc-VLMs-OCR ~ ( with .md canvas )
⤷ DREX-062225-exp : prithivMLmods/DREX-062225-exp
⤷ typhoon-ocr-3b : scb10x/typhoon-ocr-3b
⤷ VIREX-062225-exp : prithivMLmods/VIREX-062225-exp
⤷ olmOCR-7B-0225-preview : allenai/olmOCR-7B-0225-preview
⤷ Collection : prithivMLmods/doc-vl-685839064a863e1cd23be3f1
⤷ Multimodal Implementations : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
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- 5 replies
Post
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we've merged LightGlue keypoint matcher to Hugging Face transformers! it allows commercial use when paired with an open-source keypoint detector 🙏🏻
it works very well, try it yourself: ETH-CVG/LightGlue
here's an in-the-wild test with two images of the same place ⤵️
it works very well, try it yourself: ETH-CVG/LightGlue
here's an in-the-wild test with two images of the same place ⤵️
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- 1 reply
prithivMLmods
posted
an
update
20 days ago
Post
2687
Updated the docscopeOCR-7B-050425-exp with the DREX-062225-exp, with improved preciseness in table structure and line spacing in the markdown used on the document page. And though this is still an experimental one, it's expected to perform well in the defined DREX use cases [ Document Retrieval and Extraction eXpert – experimental ocr ]. 💻
⤷ Model : prithivMLmods/DREX-062225-exp
⤷ Demo : prithivMLmods/Doc-VLMs-OCR
⤷ Collection : prithivMLmods/doc-vl-685839064a863e1cd23be3f1
⤷ Multimodal Implementations : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
⤷ Git : https://github.com/PRITHIVSAKTHIUR/DREX.git
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To know more about it, visit the model card of the respective model. !!
⤷ Model : prithivMLmods/DREX-062225-exp
⤷ Demo : prithivMLmods/Doc-VLMs-OCR
⤷ Collection : prithivMLmods/doc-vl-685839064a863e1cd23be3f1
⤷ Multimodal Implementations : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
⤷ Git : https://github.com/PRITHIVSAKTHIUR/DREX.git
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To know more about it, visit the model card of the respective model. !!
Post
4326
Release picks of the past week is here! Find more models, datasets, Spaces here
merve/june-20-releases-68594824d1f4dfa61aee3433
🖼️ VLMs/OCR
> moonshotai/Kimi-VL-A3B-Thinking-2506 is a powerful reasoning vision LM, 3B active params, smarter with less tokens, supports long documents, videos 👏 (OS)
> nanonets/Nanonets-OCR-s is 3.75B params OCR model based on Qwen2.5VL-3B-Instruct (OS)
💬 LLMs
> moonshotai/Kimi-Dev-72B is a strong coding model based on Qwen2.5-72B (OS)
> Mistral released mistralai/Mistral-Small-3.2-24B-Instruct-2506, an update to their former model with better function calling & instruction following (OS)
🗣️ Audio
> Google released google/magenta-realtime, real time music generation & audio synthesis (cc-by-4)
> kyutai released new speech-to-text models that come in 1B & 2B ( kyutai/stt-1b-en_fr, stt-2b-en_fr) with 0.5s and 2.5s delay
3D
> Tencent released tencent/Hunyuan3D-2.1 an image-to-3D model (see below)
🖼️ VLMs/OCR
> moonshotai/Kimi-VL-A3B-Thinking-2506 is a powerful reasoning vision LM, 3B active params, smarter with less tokens, supports long documents, videos 👏 (OS)
> nanonets/Nanonets-OCR-s is 3.75B params OCR model based on Qwen2.5VL-3B-Instruct (OS)
💬 LLMs
> moonshotai/Kimi-Dev-72B is a strong coding model based on Qwen2.5-72B (OS)
> Mistral released mistralai/Mistral-Small-3.2-24B-Instruct-2506, an update to their former model with better function calling & instruction following (OS)
🗣️ Audio
> Google released google/magenta-realtime, real time music generation & audio synthesis (cc-by-4)
> kyutai released new speech-to-text models that come in 1B & 2B ( kyutai/stt-1b-en_fr, stt-2b-en_fr) with 0.5s and 2.5s delay
3D
> Tencent released tencent/Hunyuan3D-2.1 an image-to-3D model (see below)
Post
5029
fav open-source multimodal reasoning model just got an update 🔥
moonshotai/Kimi-VL-A3B-Thinking-2506 has
> smarter with less tokens, small size (only 3B active params!!!)
> better accuracy
> video reasoning
> higher resolution 🤯
Read their blog https://huggingface.co/blog/moonshotai/kimi-vl-a3b-thinking-2506
moonshotai/Kimi-VL-A3B-Thinking-2506 has
> smarter with less tokens, small size (only 3B active params!!!)
> better accuracy
> video reasoning
> higher resolution 🤯
Read their blog https://huggingface.co/blog/moonshotai/kimi-vl-a3b-thinking-2506
Post
2293
y'all have been asking my opinion on how OCR models compare to each other 👀
I will leave three apps to compare newest models by @prithivMLmods instead ⤵️
> compare Nanonets-OCR-s, Qwen2-VL-OCR-2B-Instruct, RolmOCR, Aya-Vision prithivMLmods/Multimodal-OCR
> SmolDocling, Nanonets-OCR-s, MonkeyOCR, Typhoon-OCR-7B prithivMLmods/Multimodal-OCR2
> docscopeOCR, MonkeyOCR, coreOCR prithivMLmods/core-OCR
I will leave three apps to compare newest models by @prithivMLmods instead ⤵️
> compare Nanonets-OCR-s, Qwen2-VL-OCR-2B-Instruct, RolmOCR, Aya-Vision prithivMLmods/Multimodal-OCR
> SmolDocling, Nanonets-OCR-s, MonkeyOCR, Typhoon-OCR-7B prithivMLmods/Multimodal-OCR2
> docscopeOCR, MonkeyOCR, coreOCR prithivMLmods/core-OCR
- 1 reply