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_600k.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_600k.bin
- Command line
-
hf download hf://Rostlab/prot_t5_xl_uniref50/pytorch_model_600k.bin
-
curl -L -o pytorch_model_600k.bin https://huggingface.co/Rostlab/prot_t5_xl_uniref50/resolve/main/pytorch_model_600k.bin
11.3 GB
- Xet hash:
- 9f41698c1f8aadf4243b3b6cc1d57bd8731e8f2a1314eac9a73f38c4054ec97c
- Size of remote file:
- 11.3 GB
- SHA256:
- e7f35dee1572e6da60ce797f86383828817e4ef21b6bae6fe7b5bba143fe62a1
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