Instructions to use hugords7/bart-final-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hugords7/bart-final-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hugords7/bart-final-model") model = AutoModelForSeq2SeqLM.from_pretrained("hugords7/bart-final-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hugords7/bart-final-model: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/hugords7/bart-final-model/resolve/main/training_args.bin
- Command line
-
hf download hf://hugords7/bart-final-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hugords7/bart-final-model/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- f6c4e81f4f59d35360a08056633747e84f1f53ec8dc5d930150a6acc37016098
- Size of remote file:
- 3.77 kB
- SHA256:
- d1eb6cbe7ba78f321b0c4c8fe9df8826dd5bc08852a8ea4fe3d672d8e56da4d9
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