AI & ML interests

Being Ryan Gosling, being Patrick Bateman, watching Blade Runner 2049 (2017) on repeat, rewatching American Psycho (2000), watching Barbie (2023). Get Kenergetic!

Recent Activity

NymboΒ 
posted an update about 1 month ago
view post
Post
2349
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 mcp.json, but claude.ai has no such option. Anyone got any ideas?
Β·
NymboΒ 
posted an update 3 months ago
view post
Post
3839
Haven't seen this posted anywhere - Llama-3.3-8B-Instruct is available on the new Llama API. Is this a new model or did someone mislabel Llama-3.1-8B?
  • 1 reply
Β·
NymboΒ 
posted an update 3 months ago
view post
Post
2752
PSA for anyone using Nymbo/Nymbo_Theme or Nymbo/Nymbo_Theme_5 in a Gradio space ~

Both of these themes have been updated to fix some of the long-standing inconsistencies ever since the transition to Gradio v5. Textboxes are no longer bright green and in-line code is readable now! Both themes are now visually identical across versions.

If your space is already using one of these themes, you just need to restart your space to get the latest version. No code changes needed.
not-lainΒ 
posted an update 5 months ago
ameerazam08Β 
posted an update 6 months ago
not-lainΒ 
posted an update 6 months ago
not-lainΒ 
posted an update 7 months ago
view post
Post
1790
we now have more than 2000 public AI models using ModelHubMixinπŸ€—
not-lainΒ 
posted an update 7 months ago
view post
Post
4136
Published a new blogpost πŸ“–
In this blogpost I have gone through the transformers' architecture emphasizing how shapes propagate throughout each layer.
πŸ”— https://huggingface.co/blog/not-lain/tensor-dims
some interesting takeaways :
not-lainΒ 
posted an update 9 months ago
view post
Post
2449
ever wondered how you can make an API call to a visual-question-answering model without sending an image url πŸ‘€

you can do that by converting your local image to base64 and sending it to the API.

recently I made some changes to my library "loadimg" that allows you to make converting images to base64 a breeze.
πŸ”— https://github.com/not-lain/loadimg

API request example πŸ› οΈ:
from loadimg import load_img
from huggingface_hub import InferenceClient

# or load a local image
my_b64_img = load_img(imgPath_url_pillow_or_numpy ,output_type="base64" ) 

client = InferenceClient(api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx")

messages = [
	{
		"role": "user",
		"content": [
			{
				"type": "text",
				"text": "Describe this image in one sentence."
			},
			{
				"type": "image_url",
				"image_url": {
					"url": my_b64_img # base64 allows using images without uploading them to the web
				}
			}
		]
	}
]

stream = client.chat.completions.create(
    model="meta-llama/Llama-3.2-11B-Vision-Instruct", 
	messages=messages, 
	max_tokens=500,
	stream=True
)

for chunk in stream:
    print(chunk.choices[0].delta.content, end="")
not-lainΒ 
posted an update 12 months ago
not-lainΒ 
posted an update about 1 year ago
view post
Post
7815
I am now a huggingface fellow πŸ₯³
Β·
not-lainΒ 
posted an update about 1 year ago
view post
Post
2718
I have finished writing a blogpost about building an image-based retrieval system, This is one of the first-ever approaches to building such a pipeline using only open-source models/libraries πŸ€—

You can checkout the blogpost in https://huggingface.co/blog/not-lain/image-retriever and the associated space at not-lain/image-retriever .

✨ If you want to request another blog post consider letting me know down below or you can reach out to me through any of my social media

πŸ“– Happy reading !
not-lainΒ 
posted an update about 1 year ago
view post
Post
1486
Hello beautiful people.
I wanted to thank everyone that read my blogpost and I am glad to share that we have achieved 11000 readers πŸ₯³
I couldn't have done this without you, so once again thanks a lot everyone for the support πŸ’–
If you haven't already you can read my blog post at: https://huggingface.co/blog/not-lain/rag-chatbot-using-llama3
KorakoeΒ 
posted an update about 1 year ago
not-lainΒ 
posted an update about 1 year ago
view post
Post
2139
It is with great pleasure I inform you that huggingface's ModelHubMixin reached 200+ models on the hub πŸ₯³

ModelHubMixin is a class developed by HF to integrate AI models with the hub with ease and it comes with 3 methods :
* save_pretrained
* from_pretrained
* push_to_hub

Shoutout to @nielsr , @Wauplin and everyone else on HF for their awesome work πŸ€—

If you are not familiar with ModelHubMixin and you are looking for extra resources you might consider :
* docs: https://huggingface.co/docs/huggingface_hub/main/en/package_reference/mixins
πŸ”—blog about training models with the trainer API and using ModelHubMixin: https://huggingface.co/blog/not-lain/trainer-api-and-mixin-classes
πŸ”—GitHub repo with pip integration: https://github.com/not-lain/PyTorchModelHubMixin-template
πŸ”—basic guide: https://huggingface.co/posts/not-lain/884273241241808
not-lainΒ 
posted an update about 1 year ago
view post
Post
1963
I will be delivering an introductory coding session this Sunday 7Pm gmt+1 time about huggingface, if you are new to HF and don't know where to begin, you are welcome to join us πŸ€—
πŸ“ŒPlace: huggingface discord server
πŸ”—Link : https://discord.gg/hugging-face-879548962464493619?event=1245406127668203541
  • 2 replies
Β·
not-lainΒ 
posted an update about 1 year ago
view post
Post
1563
If you're a researcher or developing your own model πŸ‘€ you might need to take a look at huggingface's ModelHubMixin classes.
They are used to seamlessly integrate your AI model with huggingface and to save/ load your model easily πŸš€

1️⃣ make sure you're using the appropriate library version
pip install -qU "huggingface_hub>=0.22"

2️⃣ inherit from the appropriate class
from huggingface_hub import PyTorchModelHubMixin
from torch import nn

class MyModel(nn.Module,PyTorchModelHubMixin):
  def __init__(self, a, b):
    super().__init__()
    self.layer = nn.Linear(a,b)
  def forward(self,inputs):
    return self.layer(inputs)

first_model = MyModel(3,1)

4️⃣ push the model to the hub (or use save_pretrained method to save locally)
first_model.push_to_hub("not-lain/test")

5️⃣ Load and initialize the model from the hub using the original class
pretrained_model = MyModel.from_pretrained("not-lain/test")

not-lainΒ 
posted an update about 1 year ago
view post
Post
1150
I'm looking for open-source image embedding models for RAG applications and/or multimodel embedding models if they exist in the first place.

if you have any extra resources about using, creating, or finetuning them feel free to share them below πŸ€—