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 training_args.bin from rb05751/bart_fine_tuned: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/rb05751/bart_fine_tuned/resolve/main/training_args.bin
- Command line
-
hf download hf://rb05751/bart_fine_tuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rb05751/bart_fine_tuned/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- fb3fa828e8c0095e6bac2ad236eaf1d5a62fdcd8f02c034de1e47d113c6f5a90
- Size of remote file:
- 4.03 kB
- SHA256:
- 761162224ee4b4b92bac2103d2244d763d525c0cd2fec01575f4a237507cdde8
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