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 pytorch_model.bin from nlp04/final_bart: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/nlp04/final_bart/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nlp04/final_bart/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nlp04/final_bart/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 7c3e2f11c5983ea557bf1db581ec9f74dfddc1b3c10d53cd4a33014923367ab2
- Size of remote file:
- 496 MB
- SHA256:
- 50f57db93f78f309201979e6af1c7a7038502f3049650506e38d4bc5d53ef097
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