Instructions to use nlp04/final_bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp04/final_bart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nlp04/final_bart") model = AutoModelForSeq2SeqLM.from_pretrained("nlp04/final_bart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nlp04/final_bart: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/nlp04/final_bart/resolve/main/training_args.bin
- Command line
-
hf download hf://nlp04/final_bart/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nlp04/final_bart/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 0436f7ec8f001dc28fe3dba3b0257eef2716f4133bcf6b7fe3577e64001e8ce1
- Size of remote file:
- 3.58 kB
- SHA256:
- 68b8b2a101e97fd60e6376e8ed86c845a6fe4363051fc3ba2d91809118a651bb
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