Token Classification
Transformers
PyTorch
JAX
Safetensors
English
bert
biology
microbiology
deep-learning
Instructions to use virtual-human-chc/prot_bert_bfd_ss3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use virtual-human-chc/prot_bert_bfd_ss3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="virtual-human-chc/prot_bert_bfd_ss3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("virtual-human-chc/prot_bert_bfd_ss3") model = AutoModelForTokenClassification.from_pretrained("virtual-human-chc/prot_bert_bfd_ss3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from virtual-human-chc/prot_bert_bfd_ss3: direct link, hf CLI and curl.
- Browser
- Download file 86 Bytes
-
https://huggingface.co/virtual-human-chc/prot_bert_bfd_ss3/resolve/refs%2Fpr%2F3/tokenizer_config.json
- Command line
-
hf download hf://virtual-human-chc/prot_bert_bfd_ss3@refs/pr/3/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/virtual-human-chc/prot_bert_bfd_ss3/resolve/refs%2Fpr%2F3/tokenizer_config.json
86 Bytes
| {"do_lower_case": false, "special_tokens_map_file": null, "full_tokenizer_file": null} |