Instructions to use jasonsurya0/BART_FIVE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasonsurya0/BART_FIVE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jasonsurya0/BART_FIVE") model = AutoModelForSeq2SeqLM.from_pretrained("jasonsurya0/BART_FIVE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jasonsurya0/BART_FIVE: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/jasonsurya0/BART_FIVE/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jasonsurya0/BART_FIVE/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jasonsurya0/BART_FIVE/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- f73a5723a3591c6c4b7e71007cd6cd61ece045c2afdf1c9e9f4e00453bea093f
- Size of remote file:
- 1.63 GB
- SHA256:
- 7fe7c53f41d48e0ad9db3ad70d1ea2505e6311f2467706a258b3d4ad536a1e66
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