Instructions to use acmc/summarizer_google_long-t5-local-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-local-base_keybert_unfaceted with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("acmc/summarizer_google_long-t5-local-base_keybert_unfaceted") model = AutoModelForSeq2SeqLM.from_pretrained("acmc/summarizer_google_long-t5-local-base_keybert_unfaceted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from acmc/summarizer_google_long-t5-local-base_keybert_unfaceted: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/acmc/summarizer_google_long-t5-local-base_keybert_unfaceted/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://acmc/summarizer_google_long-t5-local-base_keybert_unfaceted/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/acmc/summarizer_google_long-t5-local-base_keybert_unfaceted/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 72ee83ef63109139793617367e1bd9afd6694ac40146125512b44b49fbea50c3
- Size of remote file:
- 990 MB
- SHA256:
- 6767ed07b6fb7e2016abae9868db813b81818f68a735b27196bad952631edd00
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