Instructions to use conrizzo/dialogue_summarization_with_BART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conrizzo/dialogue_summarization_with_BART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("conrizzo/dialogue_summarization_with_BART") model = AutoModelForSeq2SeqLM.from_pretrained("conrizzo/dialogue_summarization_with_BART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from conrizzo/dialogue_summarization_with_BART: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/conrizzo/dialogue_summarization_with_BART/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://conrizzo/dialogue_summarization_with_BART/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/conrizzo/dialogue_summarization_with_BART/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 0da7fc7340c8db1629b66bb27813bab3e30ecdde3d60e9c01709fcd5327d1c36
- Size of remote file:
- 1.63 GB
- SHA256:
- 2813076131e4ff2f840a5b19a2ac4b663ff1274746c66eaee23e48d721b28def
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