Instructions to use rjarun20/dnu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rjarun20/dnu with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rjarun20/dnu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rjarun20/dnu: direct link, hf CLI and curl.
- Browser
- Download file 1.8 MB
-
https://huggingface.co/rjarun20/dnu/resolve/main/tokenizer.json
- Command line
-
hf download hf://rjarun20/dnu/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/rjarun20/dnu/resolve/main/tokenizer.json
1.8 MB
- Xet hash:
- 5ce70edb10c8f55cd1628b99936f050d65ffe2a3c77428fcf32d294021db1602
- Size of remote file:
- 1.8 MB
- SHA256:
- e53ad4b12c310873dcbc1f11a36b14725af784fa953d21a370e4182709847c55
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