Instructions to use a2ran/FingerFriend-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use a2ran/FingerFriend-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("a2ran/FingerFriend-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("a2ran/FingerFriend-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from a2ran/FingerFriend-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 1.1 GB
-
https://huggingface.co/a2ran/FingerFriend-t5-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://a2ran/FingerFriend-t5-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/a2ran/FingerFriend-t5-base/resolve/main/pytorch_model.bin
1.1 GB
- Xet hash:
- 62b5ad336d301dbeb8b59a26c85ae208e2f88c6f3130b59f70ec03fb38dd9b9a
- Size of remote file:
- 1.1 GB
- SHA256:
- 34574bd791ac80ad4bf15838d12f777c5e14a9fc5ffebaadff4cddd4c0e1fbfe
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