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, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("zai-org/GLM-ASR-Nano-2512") model = AutoModelForSeq2SeqLM.from_pretrained("zai-org/GLM-ASR-Nano-2512") - Notebooks
- Google Colab
- Kaggle
Support transformers 5.0.0 and SGLang
#6
by ZHANGYUXUAN-zR - opened
Now, you can follow the readme tutorial to deploy the GLM-ASR model using the latest version of transformers. For SGLang deployment, please use the dev version of the image and manually install transformers from source code.
ZHANGYUXUAN-zR changed discussion title from Support transformers 5.0.0 and SGLang (Working) to Support transformers 5.0.0 and SGLang