Instructions to use amaibrah/long_doc_summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amaibrah/long_doc_summarizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amaibrah/long_doc_summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("amaibrah/long_doc_summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from amaibrah/long_doc_summarizer: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/amaibrah/long_doc_summarizer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://amaibrah/long_doc_summarizer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/amaibrah/long_doc_summarizer/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- ccc0f017b11e0999559dd283f2139c38364f26f27201515bc6a9a659b3202404
- Size of remote file:
- 1.63 GB
- SHA256:
- 9186920db32467456a0c6ac4ced13c565cc00542f4ee43ace0a72e1f9fb898cb
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