Instructions to use JulianPJ/TFIDF_BART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulianPJ/TFIDF_BART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JulianPJ/TFIDF_BART") model = AutoModelForSeq2SeqLM.from_pretrained("JulianPJ/TFIDF_BART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from JulianPJ/TFIDF_BART: direct link, hf CLI and curl.
- Browser
- Download file 1.02 GB
-
https://huggingface.co/JulianPJ/TFIDF_BART/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://JulianPJ/TFIDF_BART/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/JulianPJ/TFIDF_BART/resolve/main/pytorch_model.bin
1.02 GB
- Xet hash:
- bcfaf32a39bc9f268a716fa9d5b0e4982e95afc574844022f4e4d8ce3d8412ed
- Size of remote file:
- 1.02 GB
- SHA256:
- 2c1ce0bc4c25d9125fb7e9dcf515877d7db8b77ad74cc9769437eddcd59c7fd2
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