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 pytorch_model.bin from kumarprashant556/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/kumarprashant556/checkpoints/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://kumarprashant556/checkpoints@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kumarprashant556/checkpoints/resolve/refs%2Fpr%2F1/pytorch_model.bin
299 MB
- Xet hash:
- ec79db699f21b1f1ce646192b5e7673611a1ce448c4a0e8fecadecc2bbfabb71
- Size of remote file:
- 299 MB
- SHA256:
- 7976b5ca3f3e03e283451cf99e75d2445a9d3d0504d567f86f3db6d1167dde94
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