Instructions to use acmc/summarizer_google_long-t5-local-base_base_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_base_unfaceted with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("acmc/summarizer_google_long-t5-local-base_base_unfaceted") model = AutoModelForSeq2SeqLM.from_pretrained("acmc/summarizer_google_long-t5-local-base_base_unfaceted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from acmc/summarizer_google_long-t5-local-base_base_unfaceted: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/acmc/summarizer_google_long-t5-local-base_base_unfaceted/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://acmc/summarizer_google_long-t5-local-base_base_unfaceted/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/acmc/summarizer_google_long-t5-local-base_base_unfaceted/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- c56caee02e9cbdfce93c82e04f2f6c265c4108ef55981ca603751abd719d9f3b
- Size of remote file:
- 990 MB
- SHA256:
- ac69f1b55116f558817c8fb688d5f0fce00141ebc4f68b68b117894dd5e14dbf
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