🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
audio
deep-learning
deepseek
gemma
glm
hacktoberfest
llm
machine-learning
model-hub
natural-language-processing
nlp
pretrained-models
python
pytorch
pytorch-transformers
qwen
speech-recognition
transformer
vlm
Updated 2026-10-11 21:18:10 +00:00
A high-throughput and memory-efficient inference and serving engine for LLMs
amd
blackwell
cuda
deepseek
deepseek-v3
gpt
gpt-oss
inference
kimi
llama
llm
llm-serving
model-serving
moe
openai
pytorch
qwen
qwen3
tpu
transformer
Updated 2026-10-11 21:09:45 +00:00
Port of OpenAI's Whisper model in C/C++
Updated 2026-10-11 04:01:46 +00:00
Faster Whisper transcription with CTranslate2
Updated 2026-10-10 03:39:41 +00:00
A framework for few-shot evaluation of language models.
Updated 2026-09-14 10:51:05 +00:00
Large Language Model Text Generation Inference
Updated 2026-03-21 11:34:22 +00:00