Instructions to use theojolliffe/model2-bart-reverse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theojolliffe/model2-bart-reverse with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("theojolliffe/model2-bart-reverse") model = AutoModelForSeq2SeqLM.from_pretrained("theojolliffe/model2-bart-reverse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from theojolliffe/model2-bart-reverse: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/theojolliffe/model2-bart-reverse/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://theojolliffe/model2-bart-reverse@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/theojolliffe/model2-bart-reverse/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.63 GB
- Xet hash:
- bad59a53798cfdcd66667a6da4c23871279efda46df3f60557d5baeb99dd5691
- Size of remote file:
- 1.63 GB
- SHA256:
- 21a23979d2be6a72608d9e567e9ea2bad1ab4aae14a582f5cb02684502d9651c
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