Instructions to use jasonsurya0/BART_SIX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasonsurya0/BART_SIX with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jasonsurya0/BART_SIX") model = AutoModelForSeq2SeqLM.from_pretrained("jasonsurya0/BART_SIX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jasonsurya0/BART_SIX: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/jasonsurya0/BART_SIX/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jasonsurya0/BART_SIX/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jasonsurya0/BART_SIX/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 3843672b28c1a439ac8f60fce974c4568c12704154483bfd0dc03d19bdeb28d4
- Size of remote file:
- 1.63 GB
- SHA256:
- 9ec72b2bfb7b96fab4acacec26b96d1e7dd4ff0dde35e34bf6752abcfc31caeb
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