Instructions to use Vivek/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vivek/checkpoints with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Vivek/checkpoints") model = AutoModelForMultipleChoice.from_pretrained("Vivek/checkpoints") - Notebooks
- Google Colab
- Kaggle
Saving weights of epoch 1 at step 1
Browse files- flax_model.msgpack +1 -1
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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size 497813349
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version https://git-lfs.github.com/spec/v1
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oid sha256:79c0caba83b0aa8746e4b1d6bf1f424c3ea65e6eee895cdadbfc80876407644c
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size 497813349
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