Text Classification
Transformers
PyTorch
English
bert
feature-extraction
exbert
linkbert
biolinkbert
fill-mask
question-answering
token-classification
text-embeddings-inference
Instructions to use michiyasunaga/BioLinkBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michiyasunaga/BioLinkBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="michiyasunaga/BioLinkBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("michiyasunaga/BioLinkBERT-base") model = AutoModel.from_pretrained("michiyasunaga/BioLinkBERT-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Flash Attention support?
#3 opened over 1 year ago
by
ndhuynh02
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
How can i do fine-tuning to NER?
#1 opened almost 4 years ago
by
HMHMlee