Instructions to use theojolliffe/model-2-bart-reverse-raw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theojolliffe/model-2-bart-reverse-raw with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("theojolliffe/model-2-bart-reverse-raw") model = AutoModelForSeq2SeqLM.from_pretrained("theojolliffe/model-2-bart-reverse-raw", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from theojolliffe/model-2-bart-reverse-raw: direct link, hf CLI and curl.
- Browser
- Download file 3.5 kB
-
https://huggingface.co/theojolliffe/model-2-bart-reverse-raw/resolve/main/training_args.bin
- Command line
-
hf download hf://theojolliffe/model-2-bart-reverse-raw/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/theojolliffe/model-2-bart-reverse-raw/resolve/main/training_args.bin
3.5 kB
- Xet hash:
- 234c5d698869423490dfe6c7b75aa332ae50f0f140c25acde336e49f46dfaaf3
- Size of remote file:
- 3.5 kB
- SHA256:
- 5b98e59c709eb3827d7a9781a02c6c9360a3010f691bd44bec8dda27ac7810aa
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