Instructions to use Rostlab/prot_bert_bfd_ss3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/prot_bert_bfd_ss3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Rostlab/prot_bert_bfd_ss3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Rostlab/prot_bert_bfd_ss3") model = AutoModelForTokenClassification.from_pretrained("Rostlab/prot_bert_bfd_ss3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.fe7ebd9
-
upload flax model
058aa45 -
allow flax
9f88136
-
Update vocab.txt
b65d4b1 -
Update log_history.json
ccbd54b -
Update config.json
9bf9219 -
Update special_tokens_map.json
77370d2 -
Update tokenizer_config.json
29eeb20 -
Update training_args.bin
91e42ca -
Update pytorch_model.bin
b9effdd
-
Update tokenizer_config.json
cb1348f -
Update vocab.txt
130a536 -
Update config.json
0fb3d81 -
Update log_history.json
be73327 -
Update special_tokens_map.json
6229ffd -
initial commit
3557b0e