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 training_args.bin from virtual-human-chc/prot_bert_bfd_ss3: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/virtual-human-chc/prot_bert_bfd_ss3/resolve/refs%2Fpr%2F3/training_args.bin
- Command line
-
hf download hf://virtual-human-chc/prot_bert_bfd_ss3@refs/pr/3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/virtual-human-chc/prot_bert_bfd_ss3/resolve/refs%2Fpr%2F3/training_args.bin
1.78 kB
- Xet hash:
- 87bd5b988fdbfbd3bdf681da043e86994267189bcf797507f998e822f671b01d
- Size of remote file:
- 1.78 kB
- SHA256:
- e1147ba114819d716d2c7a0b6e07e6197c88d505d947f04f5f412af80c145bf2
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