Instructions to use acmc/summarizer_google_long-t5-tglobal-base_keybert_unfaceted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acmc/summarizer_google_long-t5-tglobal-base_keybert_unfaceted with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("acmc/summarizer_google_long-t5-tglobal-base_keybert_unfaceted") model = AutoModelForSeq2SeqLM.from_pretrained("acmc/summarizer_google_long-t5-tglobal-base_keybert_unfaceted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 198dc88a5e190430a3b81d8bce00c8db8f78e8eb1697f5d18311ce499f4a5e4b
- Size of remote file:
- 990 MB
- SHA256:
- c2c8f61a9907d794bf6a2968236970756405394ec9ac41d4abf239bc89c2d201
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