Instructions to use sshleifer/student-bart-base-3-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student-bart-base-3-3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student-bart-base-3-3") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student-bart-base-3-3") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0fc549b776d886c4b0f91efee13acd7b62adaf7a410112caca5148c8b5f9db54
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size 179731556
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