Faster Text Generation with Self-Speculative Decoding
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A frontier video understanding model developed by FAIR, Meta, which extends the pretraining objectives of https://ai.meta.com/blog/v-jepa-yann
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facebook/vjepa2-vitl-fpc64-256
Video Classification • 0.3B • Updated • 31.5k • 137 -
facebook/vjepa2-vith-fpc64-256
Video Classification • 0.7B • Updated • 1.26k • 12 -
facebook/vjepa2-vitg-fpc64-256
Video Classification • 1B • Updated • 12.9k • 15 -
facebook/vjepa2-vitg-fpc64-384
Video Classification • 1B • Updated • 8.56k • 26
A collection of small (sub-1B) multilingual dense retrievers that generalize well across a number of tasks and languages.
Optimizing Sub-billion Parameter Language Models for On-Device Use Cases (ICML 2024) https://arxiv.org/abs/2402.14905
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MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 132 -
facebook/MobileLLM-125M
Text Generation • Updated • 985 • 120 -
facebook/MobileLLM-350M
Text Generation • Updated • 476 • 35 -
facebook/MobileLLM-600M
Text Generation • Updated • 421 • 29
Models continually pretrained using LayerSkip - https://arxiv.org/abs/2404.16710
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LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Paper • 2404.16710 • Published • 80 -
facebook/layerskip-llama2-7B
Text Generation • 7B • Updated • 1.12k • 14 -
facebook/layerskip-llama2-13B
Text Generation • 13B • Updated • 366 • 5 -
facebook/layerskip-llama2-70B
Text Generation • 69B • Updated • 190 • 4
A significant step towards removing language barriers through expressive, fast and high-quality AI translation.
A collection for the first release of Wav2Vec 2.0, a speech encoder that learns powerful representations from unlabelled audio data.
-
facebook/wav2vec2-large-960h-lv60-self
Automatic Speech Recognition • Updated • 64.1k • 149 -
facebook/wav2vec2-large-960h
Automatic Speech Recognition • Updated • 91.4k • 31 -
facebook/wav2vec2-base-960h
Automatic Speech Recognition • 0.1B • Updated • 982k • 357 -
facebook/wav2vec2-base-100h
Automatic Speech Recognition • Updated • 1.28k • 6
A collection of multilingual Wav2Vec 2.0 checkpoints pre-trained on 53 languages and fine-tuned for CTC speech recognition.
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facebook/wav2vec2-large-xlsr-53
Updated • 863k • 141 -
facebook/wav2vec2-xlsr-53-espeak-cv-ft
Automatic Speech Recognition • Updated • 194k • 33 -
facebook/wav2vec2-large-xlsr-53-dutch
Automatic Speech Recognition • Updated • 496 • 2 -
facebook/wav2vec2-large-xlsr-53-french
Automatic Speech Recognition • Updated • 26.2k • 13
A collection of "robust" Wav2Vec 2.0 checkpoints pre-trained on datasets from multiple domains.
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facebook/wav2vec2-large-robust
Updated • 1.44k • 35 -
facebook/wav2vec2-large-robust-ft-libri-960h
Automatic Speech Recognition • 0.3B • Updated • 240k • 15 -
facebook/wav2vec2-large-robust-ft-swbd-300h
Automatic Speech Recognition • Updated • 5.6k • 20 -
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
Paper • 2104.01027 • Published • 1
A collection of checkpoints from the second VoxPopuli release.
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VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
Paper • 2101.00390 • Published • 1 -
facebook/wav2vec2-base-bg-voxpopuli-v2
Automatic Speech Recognition • Updated • 30 -
facebook/wav2vec2-base-cs-voxpopuli-v2
Automatic Speech Recognition • Updated • 20 • 1 -
facebook/wav2vec2-base-da-voxpopuli-v2
Automatic Speech Recognition • Updated • 22
Text-to-speech models from fairseq s^2
A collection of stereo music generation models as part of the v2 MusicGen release.
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
OPT (Open Pretrained Transformer) is a series of open-sourced large causal language models which perform similar in performance to GPT3.
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facebook/webssl-dino300m-full2b-224
Image Feature Extraction • 0.3B • Updated • 590 • 9 -
facebook/webssl-dino1b-full2b-224
Image Feature Extraction • 1B • Updated • 1.55k • 1 -
facebook/webssl-dino2b-full2b-224
Image Feature Extraction • 2B • Updated • 88 -
facebook/webssl-dino3b-full2b-224
Image Feature Extraction • 3B • Updated • 356
A first-of-its-kind behavioral foundation model to control a virtual physics-based humanoid agent for a wide range of whole-body tasks.
Models and datasets for Sparsh: Self-supervised touch representations for vision-based tactile sensing
MelodyFlow: High Fidelity Text-Guided Music Generation and Editing via Single-Stage Flow Matching
Masked Audio Generation using a Single Non-Autoregressive Transformer
SeamlessM4T is designed to provide high quality translation, allowing people from different linguistic communities to communicate effortlessly.
First release checkpoints for XLS-R, a large-scale model for cross-lingual speech representation learning based on wav2vec 2.0.
A collection of open-source artefacts (datasets + checkpoints) from the first VoxPopuli release.
-
facebook/voxpopuli
Updated • 7.74k • 124 -
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
Paper • 2101.00390 • Published • 1 -
facebook/wav2vec2-base-100k-voxpopuli
Automatic Speech Recognition • Updated • 2.3k • 4 -
facebook/wav2vec2-base-10k-voxpopuli-ft-cs
Automatic Speech Recognition • Updated • 17
A collection of checkpoints from the HuBERT release, a speech encoder that learns powerful representations from unlabelled audio data.
-
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Paper • 2106.07447 • Published • 3 -
facebook/hubert-base-ls960
Feature Extraction • Updated • 253k • • 57 -
facebook/hubert-large-ll60k
Feature Extraction • Updated • 54k • 30 -
facebook/hubert-large-ls960-ft
Automatic Speech Recognition • Updated • 561k • 69
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facebook/dinov2-small
Image Feature Extraction • 0.0B • Updated • 1.35M • 41 -
facebook/dinov2-base
Image Feature Extraction • 0.1B • Updated • 2.51M • 137 -
facebook/dinov2-large
Image Feature Extraction • 0.3B • Updated • 697k • 86 -
facebook/dinov2-giant
Image Feature Extraction • 1B • Updated • 101k • 46
Meta LLM Compiler is a state-of-the-art LLM that builds upon Code Llama with improved performance for code optimization and compiler reasoning.
Foundation models for human tasks. Code: https://github.com/facebookresearch/sapiens
A frontier video understanding model developed by FAIR, Meta, which extends the pretraining objectives of https://ai.meta.com/blog/v-jepa-yann
-
facebook/vjepa2-vitl-fpc64-256
Video Classification • 0.3B • Updated • 31.5k • 137 -
facebook/vjepa2-vith-fpc64-256
Video Classification • 0.7B • Updated • 1.26k • 12 -
facebook/vjepa2-vitg-fpc64-256
Video Classification • 1B • Updated • 12.9k • 15 -
facebook/vjepa2-vitg-fpc64-384
Video Classification • 1B • Updated • 8.56k • 26
-
facebook/webssl-dino300m-full2b-224
Image Feature Extraction • 0.3B • Updated • 590 • 9 -
facebook/webssl-dino1b-full2b-224
Image Feature Extraction • 1B • Updated • 1.55k • 1 -
facebook/webssl-dino2b-full2b-224
Image Feature Extraction • 2B • Updated • 88 -
facebook/webssl-dino3b-full2b-224
Image Feature Extraction • 3B • Updated • 356
A collection of small (sub-1B) multilingual dense retrievers that generalize well across a number of tasks and languages.
A first-of-its-kind behavioral foundation model to control a virtual physics-based humanoid agent for a wide range of whole-body tasks.
Optimizing Sub-billion Parameter Language Models for On-Device Use Cases (ICML 2024) https://arxiv.org/abs/2402.14905
-
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 132 -
facebook/MobileLLM-125M
Text Generation • Updated • 985 • 120 -
facebook/MobileLLM-350M
Text Generation • Updated • 476 • 35 -
facebook/MobileLLM-600M
Text Generation • Updated • 421 • 29
Models and datasets for Sparsh: Self-supervised touch representations for vision-based tactile sensing
Models continually pretrained using LayerSkip - https://arxiv.org/abs/2404.16710
-
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Paper • 2404.16710 • Published • 80 -
facebook/layerskip-llama2-7B
Text Generation • 7B • Updated • 1.12k • 14 -
facebook/layerskip-llama2-13B
Text Generation • 13B • Updated • 366 • 5 -
facebook/layerskip-llama2-70B
Text Generation • 69B • Updated • 190 • 4
MelodyFlow: High Fidelity Text-Guided Music Generation and Editing via Single-Stage Flow Matching
A significant step towards removing language barriers through expressive, fast and high-quality AI translation.
Masked Audio Generation using a Single Non-Autoregressive Transformer
A collection for the first release of Wav2Vec 2.0, a speech encoder that learns powerful representations from unlabelled audio data.
-
facebook/wav2vec2-large-960h-lv60-self
Automatic Speech Recognition • Updated • 64.1k • 149 -
facebook/wav2vec2-large-960h
Automatic Speech Recognition • Updated • 91.4k • 31 -
facebook/wav2vec2-base-960h
Automatic Speech Recognition • 0.1B • Updated • 982k • 357 -
facebook/wav2vec2-base-100h
Automatic Speech Recognition • Updated • 1.28k • 6
SeamlessM4T is designed to provide high quality translation, allowing people from different linguistic communities to communicate effortlessly.
A collection of multilingual Wav2Vec 2.0 checkpoints pre-trained on 53 languages and fine-tuned for CTC speech recognition.
-
facebook/wav2vec2-large-xlsr-53
Updated • 863k • 141 -
facebook/wav2vec2-xlsr-53-espeak-cv-ft
Automatic Speech Recognition • Updated • 194k • 33 -
facebook/wav2vec2-large-xlsr-53-dutch
Automatic Speech Recognition • Updated • 496 • 2 -
facebook/wav2vec2-large-xlsr-53-french
Automatic Speech Recognition • Updated • 26.2k • 13
First release checkpoints for XLS-R, a large-scale model for cross-lingual speech representation learning based on wav2vec 2.0.
A collection of "robust" Wav2Vec 2.0 checkpoints pre-trained on datasets from multiple domains.
-
facebook/wav2vec2-large-robust
Updated • 1.44k • 35 -
facebook/wav2vec2-large-robust-ft-libri-960h
Automatic Speech Recognition • 0.3B • Updated • 240k • 15 -
facebook/wav2vec2-large-robust-ft-swbd-300h
Automatic Speech Recognition • Updated • 5.6k • 20 -
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
Paper • 2104.01027 • Published • 1
A collection of open-source artefacts (datasets + checkpoints) from the first VoxPopuli release.
-
facebook/voxpopuli
Updated • 7.74k • 124 -
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
Paper • 2101.00390 • Published • 1 -
facebook/wav2vec2-base-100k-voxpopuli
Automatic Speech Recognition • Updated • 2.3k • 4 -
facebook/wav2vec2-base-10k-voxpopuli-ft-cs
Automatic Speech Recognition • Updated • 17
A collection of checkpoints from the second VoxPopuli release.
-
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
Paper • 2101.00390 • Published • 1 -
facebook/wav2vec2-base-bg-voxpopuli-v2
Automatic Speech Recognition • Updated • 30 -
facebook/wav2vec2-base-cs-voxpopuli-v2
Automatic Speech Recognition • Updated • 20 • 1 -
facebook/wav2vec2-base-da-voxpopuli-v2
Automatic Speech Recognition • Updated • 22
A collection of checkpoints from the HuBERT release, a speech encoder that learns powerful representations from unlabelled audio data.
-
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Paper • 2106.07447 • Published • 3 -
facebook/hubert-base-ls960
Feature Extraction • Updated • 253k • • 57 -
facebook/hubert-large-ll60k
Feature Extraction • Updated • 54k • 30 -
facebook/hubert-large-ls960-ft
Automatic Speech Recognition • Updated • 561k • 69
Text-to-speech models from fairseq s^2
-
facebook/dinov2-small
Image Feature Extraction • 0.0B • Updated • 1.35M • 41 -
facebook/dinov2-base
Image Feature Extraction • 0.1B • Updated • 2.51M • 137 -
facebook/dinov2-large
Image Feature Extraction • 0.3B • Updated • 697k • 86 -
facebook/dinov2-giant
Image Feature Extraction • 1B • Updated • 101k • 46
A collection of stereo music generation models as part of the v2 MusicGen release.
Meta LLM Compiler is a state-of-the-art LLM that builds upon Code Llama with improved performance for code optimization and compiler reasoning.
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
Foundation models for human tasks. Code: https://github.com/facebookresearch/sapiens
OPT (Open Pretrained Transformer) is a series of open-sourced large causal language models which perform similar in performance to GPT3.