Instructions to use medardif/long-t5-local-base-123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medardif/long-t5-local-base-123 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("medardif/long-t5-local-base-123") model = AutoModelForSeq2SeqLM.from_pretrained("medardif/long-t5-local-base-123", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a864cde6dc1a201b112df62ffc97c53fe1c966cad2ab5da210456d2f3bd36799
- Size of remote file:
- 3.77 kB
- SHA256:
- 726fe59c8c43844a0b72a8dd20de699fb4fe2b46aa1595c4ca63127e3b4b6a5c
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