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")# pip install -U transformers accelerate # 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
Commit History
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Add Open ASR Leaderboard evaluation results (#12)
- Add Open ASR Leaderboard evaluation results (c26e0c23c353a7caedd5a2a703872117666455a5) Co-authored-by: Nathan Habib <SaylorTwift@users.noreply.huggingface.co>61ba4e0
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trfms-compatible (#7)
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