Instructions to use Rostlab/prot_bert_bfd_membrane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/prot_bert_bfd_membrane with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rostlab/prot_bert_bfd_membrane")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rostlab/prot_bert_bfd_membrane") model = AutoModelForSequenceClassification.from_pretrained("Rostlab/prot_bert_bfd_membrane", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Rostlab/prot_bert_bfd_membrane: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/Rostlab/prot_bert_bfd_membrane/resolve/main/training_args.bin
- Command line
-
hf download hf://Rostlab/prot_bert_bfd_membrane/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Rostlab/prot_bert_bfd_membrane/resolve/main/training_args.bin
1.78 kB
- Xet hash:
- d0ad0bc2e8d36b772d9a2bfe2c6818b6d75c6f997803ac5d68abeb58083bd606
- Size of remote file:
- 1.78 kB
- SHA256:
- 708086c3230b756a0e56fdb86d6a6d61a1622e7ffaad1ba9ba20b773307b976d
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