BioBERT
Collection
This collection hosts BioBERT (Bioinformatics 2020) series, a domain-specific adaptation of BERT pre-trained on biomedical corpora. β’ 9 items β’ Updated β’ 5
How to use dmis-lab/biobert-v1.1 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("feature-extraction", model="dmis-lab/biobert-v1.1") # Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-v1.1")
model = AutoModel.from_pretrained("dmis-lab/biobert-v1.1")# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-v1.1")
model = AutoModel.from_pretrained("dmis-lab/biobert-v1.1")No model card
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dmis-lab/biobert-v1.1")