Instructions to use rb05751/bart_fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rb05751/bart_fine_tuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rb05751/bart_fine_tuned") model = AutoModelForSeq2SeqLM.from_pretrained("rb05751/bart_fine_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rb05751/bart_fine_tuned: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/rb05751/bart_fine_tuned/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rb05751/bart_fine_tuned/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rb05751/bart_fine_tuned/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- f49effe99bc7205a546265f1f698614d02be9a7922704b5401cabdaa471045ae
- Size of remote file:
- 1.63 GB
- SHA256:
- bfe011172152a63283469b444e15d49345851961a1166f3bf5f1ba4e6a2a0893
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