Instructions to use Rostlab/ProstT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/ProstT5 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="Rostlab/ProstT5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rostlab/ProstT5") model = AutoModelForSeq2SeqLM.from_pretrained("Rostlab/ProstT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Rostlab/ProstT5: direct link, hf CLI and curl.
- Browser
- Download file 11.3 GB
-
https://huggingface.co/Rostlab/ProstT5/resolve/ef54505b0d7bdd17f104f23f2b3ecad28ab9280c/pytorch_model.bin
- Command line
-
hf download hf://Rostlab/ProstT5@ef54505b0d7bdd17f104f23f2b3ecad28ab9280c/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Rostlab/ProstT5/resolve/ef54505b0d7bdd17f104f23f2b3ecad28ab9280c/pytorch_model.bin
11.3 GB
- Xet hash:
- d43f53a85fb4ccd4b4f491ee66ffea37b4930dc008c19e1af8e7294f7e2aebf5
- Size of remote file:
- 11.3 GB
- SHA256:
- 85a7f30cbfdd6c685e31058ec0be04992df81726d8b626e5b51ef27bac32bd33
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