Instructions to use Jason8117/bart-r3f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jason8117/bart-r3f with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jason8117/bart-r3f") model = AutoModelForSeq2SeqLM.from_pretrained("Jason8117/bart-r3f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Jason8117/bart-r3f: direct link, hf CLI and curl.
- Browser
- Download file 187 MB
-
https://huggingface.co/Jason8117/bart-r3f/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Jason8117/bart-r3f/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jason8117/bart-r3f/resolve/main/pytorch_model.bin
187 MB
- Xet hash:
- 5bfdb1445704786c7f2b77ae5c0a645671da349e0738dbf838a1a350ccdf5f20
- Size of remote file:
- 187 MB
- SHA256:
- da0246abb5471b3fce1ad531cb0820ffe292b1b7b45d36abfd2b87551787c1c1
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