Instructions to use lpv30/NLP-CK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lpv30/NLP-CK with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lpv30/NLP-CK", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lpv30/NLP-CK: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/lpv30/NLP-CK/resolve/main/training_args.bin
- Command line
-
hf download hf://lpv30/NLP-CK/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lpv30/NLP-CK/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 9ea2b27a706a8bfc4593a4c7f27e52e5cc9e00faaf687b4e81909ef77aadb013
- Size of remote file:
- 5.71 kB
- SHA256:
- ea4e578fc9947d04dba461e574cbd7ebdab92568aebbd79be054941733ea0c75
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