Automatic Speech Recognition
Transformers
Safetensors
English
Chinese
glmasr
text2text-generation
Eval Results
Instructions to use zai-org/GLM-ASR-Nano-2512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/GLM-ASR-Nano-2512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zai-org/GLM-ASR-Nano-2512")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("zai-org/GLM-ASR-Nano-2512") model = AutoModelForMultimodalLM.from_pretrained("zai-org/GLM-ASR-Nano-2512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add Open ASR Leaderboard evaluation results
#12
by SaylorTwift HF Staff - opened
No description provided.
ZHANGYUXUAN-zR changed pull request status to merged