Instructions to use ibokajordan/BART_rag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibokajordan/BART_rag with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibokajordan/BART_rag") model = AutoModelForSeq2SeqLM.from_pretrained("ibokajordan/BART_rag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ibokajordan/BART_rag: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/ibokajordan/BART_rag/resolve/main/training_args.bin
- Command line
-
hf download hf://ibokajordan/BART_rag/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ibokajordan/BART_rag/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 80ab7dd5eebf9c45682b8965c49c501621323acdd4477c9fb4b4de886d143aba
- Size of remote file:
- 5.43 kB
- SHA256:
- d1a8a95e78f2b8875be277929c3caaca88b4adc806a7af6afff4b60678737276
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