Automatic Speech Recognition
Transformers
Safetensors
English
Chinese
glmasr
text2text-generation
Eval Results
Instructions to use AIArchiveInfo/GLM-ASR-Nano-2512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIArchiveInfo/GLM-ASR-Nano-2512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AIArchiveInfo/GLM-ASR-Nano-2512")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("AIArchiveInfo/GLM-ASR-Nano-2512") model = AutoModelForMultimodalLM.from_pretrained("AIArchiveInfo/GLM-ASR-Nano-2512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 151 Bytes
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"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": [
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],
"transformers_version": "5.0.0.dev0"
}
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