Instructions to use sshleifer/tiny-mbart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/tiny-mbart with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/tiny-mbart") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/tiny-mbart", device_map="auto") - 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 sha256:428144cef1e09df749eabf126f9b39ebf4d3061f0fe21e48a4bd7082e7a94e4e
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size 1528827
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