Instructions to use matthew-mcc/google_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matthew-mcc/google_summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("matthew-mcc/google_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("matthew-mcc/google_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88d6e4f69e235a9e3ebe4203a058729344d29693cd7c1844dbbf3dd843dfecd3
- Size of remote file:
- 5.05 kB
- SHA256:
- e713426681da4332d2c3143e938bd38b20cbf8c99d163491c08eab395d4ffe55
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