Instructions to use mmcquade11-test/reuters-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmcquade11-test/reuters-summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mmcquade11-test/reuters-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("mmcquade11-test/reuters-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from mmcquade11-test/reuters-summarization: direct link, hf CLI and curl.
- Browser
- Download file 24.6 kB
-
https://huggingface.co/mmcquade11-test/reuters-summarization/resolve/main/sample_input.pkl
- Command line
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hf download hf://mmcquade11-test/reuters-summarization/sample_input.pkl
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curl -L -o sample_input.pkl https://huggingface.co/mmcquade11-test/reuters-summarization/resolve/main/sample_input.pkl
24.6 kB
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