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 training_args.bin from acmc/summarizer_google_long-t5-local-base_keybert_unfaceted: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/acmc/summarizer_google_long-t5-local-base_keybert_unfaceted/resolve/main/training_args.bin
- Command line
-
hf download hf://acmc/summarizer_google_long-t5-local-base_keybert_unfaceted/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/acmc/summarizer_google_long-t5-local-base_keybert_unfaceted/resolve/main/training_args.bin
4.28 kB
- Xet hash:
- 9f9a1e927ab67a19eed30152d2c520b26b1314bfad61a1d4eb36b5d3c4d9d126
- Size of remote file:
- 4.28 kB
- SHA256:
- 06513269ceb4ce0c52a70deb02cd00966b58e703b3ccf60de0010bcbf88bfb42
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