thomwolf / sesame-explorationsLinks
☆30Updated 8 months ago
Alternatives and similar repositories for sesame-explorations
Users that are interested in sesame-explorations are comparing it to the libraries listed below
Sorting:
- ☆125Updated last year
- A simple, hackable text-to-speech system in PyTorch and MLX☆184Updated 5 months ago
- ☆138Updated 4 months ago
- Video+code lecture on building nanoGPT from scratch☆68Updated last year
- Maya: An Instruction Finetuned Multilingual Multimodal Model using Aya☆123Updated 5 months ago
- Collection of Open Source Speech Data☆164Updated 3 months ago
- SlamKit is an open source tool kit for efficient training of SpeechLMs. It was used for "Slamming: Training a Speech Language Model on On…☆226Updated 7 months ago
- Datamodels for hugging face tokenizers☆86Updated last week
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆109Updated 10 months ago
- Collection of autoregressive model implementation☆85Updated this week
- ☆319Updated last year
- smolLM with Entropix sampler on pytorch☆149Updated last year
- Set of scripts to finetune LLMs☆38Updated last year
- Code for ExploreTom☆89Updated 6 months ago
- python bindings for symphonia/opus - read various audio formats from python and write opus files☆72Updated 5 months ago
- ☆56Updated 2 weeks ago
- ☆137Updated last year
- Hugging Face Inference Toolkit used to serve transformers, sentence-transformers, and diffusers models.☆89Updated last month
- ☆62Updated last year
- Google TPU optimizations for transformers models☆133Updated 3 weeks ago
- ☆53Updated 11 months ago
- ☆160Updated last year
- ☆348Updated 3 months ago
- Notebook and Scripts that showcase running quantized diffusion models on consumer GPUs☆38Updated last year
- An introduction to LLM Sampling☆79Updated last year
- Simple & Scalable Pretraining for Neural Architecture Research☆306Updated last month
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆233Updated last year
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆66Updated last year
- Joint speech-language model - respond directly to audio!☆371Updated last year
- code for training & evaluating Contextual Document Embedding models☆201Updated 7 months ago