Instructions to use mp1704/huhu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mp1704/huhu with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mp1704/huhu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from mp1704/huhu: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/mp1704/huhu/resolve/main/tokenizer.json
- Command line
-
hf download hf://mp1704/huhu/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mp1704/huhu/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- c423f7d80bd193687c40cf7522677dd0c03111742585d0f7054509fdbb122a19
- Size of remote file:
- 17.2 MB
- SHA256:
- f76e9732c48586609cea909f25a6a0852ab1aeed0306f71b6b0701c424136c84
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