Instructions to use massdriver64/summarizatio-BART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use massdriver64/summarizatio-BART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("massdriver64/summarizatio-BART") model = AutoModelForSeq2SeqLM.from_pretrained("massdriver64/summarizatio-BART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from massdriver64/summarizatio-BART: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/massdriver64/summarizatio-BART/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://massdriver64/summarizatio-BART/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/massdriver64/summarizatio-BART/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 346e06a4da29d19eec1f688265959c4abb7ca3aa56982b21a0da72f0627b34d4
- Size of remote file:
- 558 MB
- SHA256:
- 7b014d21ff2b051be10421aec45f045b309dc51b74b8d326fb0a95a4d00fcbfb
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