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")# 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
Download tokenizer.json from AIArchiveInfo/GLM-ASR-Nano-2512: direct link, hf CLI and curl.
- Browser
- Download file 6.83 MB
-
https://huggingface.co/AIArchiveInfo/GLM-ASR-Nano-2512/resolve/bd782c8835e5b6088ba2ff5a59c3636c4af606b9/tokenizer.json
- Command line
-
hf download hf://AIArchiveInfo/GLM-ASR-Nano-2512@bd782c8835e5b6088ba2ff5a59c3636c4af606b9/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/AIArchiveInfo/GLM-ASR-Nano-2512/resolve/bd782c8835e5b6088ba2ff5a59c3636c4af606b9/tokenizer.json
6.83 MB
File too large to display, you can check the raw version instead.