Instructions to use nmcco/08-training-on-bigger-pnp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nmcco/08-training-on-bigger-pnp with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nmcco/08-training-on-bigger-pnp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nmcco/08-training-on-bigger-pnp: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/nmcco/08-training-on-bigger-pnp/resolve/main/tokenizer.json
- Command line
-
hf download hf://nmcco/08-training-on-bigger-pnp/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nmcco/08-training-on-bigger-pnp/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- c5787db54f079dd3c224934286febe325fc4ba3d73262d615fd148168fc4011d
- Size of remote file:
- 34.4 MB
- SHA256:
- 85c646acb73298ab92ca14da5d88a04901e0eb26ba646c91bb8358f0d1514376
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