Instructions to use AlexWortega/T5_potter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexWortega/T5_potter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AlexWortega/T5_potter") model = AutoModelForSeq2SeqLM.from_pretrained("AlexWortega/T5_potter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AlexWortega/T5_potter: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/AlexWortega/T5_potter/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AlexWortega/T5_potter/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AlexWortega/T5_potter/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- 04eb7fb0d37af4549deba6cc467c6440588a1d772b6917eeda4b2d63d862ef82
- Size of remote file:
- 2.95 GB
- SHA256:
- b3709ed7a53373b2c45fcf17ff94d09328b9ec4e23a5e18d4f132520ebc8e010
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