Instructions to use Rostlab/prot_t5_xl_uniref50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/prot_t5_xl_uniref50 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rostlab/prot_t5_xl_uniref50") model = AutoModelForSeq2SeqLM.from_pretrained("Rostlab/prot_t5_xl_uniref50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Rostlab/prot_t5_xl_uniref50: direct link, hf CLI and curl.
- Browser
- Download file 11.3 GB
-
https://huggingface.co/Rostlab/prot_t5_xl_uniref50/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Rostlab/prot_t5_xl_uniref50/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Rostlab/prot_t5_xl_uniref50/resolve/main/pytorch_model.bin
11.3 GB
- Xet hash:
- 1cfa13f159abab6c4071046182bb880115abe3cda35356ac8ade3efc6a594585
- Size of remote file:
- 11.3 GB
- SHA256:
- c06141d42e93c12b5f6d95c701952156bd4079661f5f2d981d0d2036ba96dae9
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