Instructions to use kumarprashant556/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumarprashant556/checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kumarprashant556/checkpoints") model = AutoModelForSeq2SeqLM.from_pretrained("kumarprashant556/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kumarprashant556/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/kumarprashant556/checkpoints/resolve/main/training_args.bin
- Command line
-
hf download hf://kumarprashant556/checkpoints/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kumarprashant556/checkpoints/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 5bf3fab42a7ae88f4837e9c9c128b684fcd81cb13190bc6475c5b3f4cc24da1e
- Size of remote file:
- 3.57 kB
- SHA256:
- d0a4ad3786ff847d0a2b1b1030a8e08c98f8e775046b06dca1d152157b3ad4e8
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