Instructions to use Jgdshkovi/LLM_Lab03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jgdshkovi/LLM_Lab03 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jgdshkovi/LLM_Lab03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Jgdshkovi/LLM_Lab03: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/Jgdshkovi/LLM_Lab03/resolve/main/training_args.bin
- Command line
-
hf download hf://Jgdshkovi/LLM_Lab03/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Jgdshkovi/LLM_Lab03/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 8747df50e1c5661785334c415633417395f89984a31234f0f0d681745e3ff1ad
- Size of remote file:
- 5.56 kB
- SHA256:
- d57567129b689f1aacd4352e8df38c0df131ec9134a73b8a52e85e318e50c5fc
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