Instructions to use jasonsurya0/BART_FOUR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasonsurya0/BART_FOUR with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jasonsurya0/BART_FOUR") model = AutoModelForSeq2SeqLM.from_pretrained("jasonsurya0/BART_FOUR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jasonsurya0/BART_FOUR: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/jasonsurya0/BART_FOUR/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jasonsurya0/BART_FOUR/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jasonsurya0/BART_FOUR/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 459748342a226daa35d14b0c10218f4a682f5cf3edfb65590e99e6d8ab20d198
- Size of remote file:
- 1.63 GB
- SHA256:
- a1cb39282164672dd532e3f490e119246340143c2b91eac2801c29d61c14c73a
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