tner/bc5cdr
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How to use sschet/biobert_genetic_ner with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("token-classification", model="sschet/biobert_genetic_ner") # Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("sschet/biobert_genetic_ner")
model = AutoModelForTokenClassification.from_pretrained("sschet/biobert_genetic_ner")# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("sschet/biobert_genetic_ner")
model = AutoModelForTokenClassification.from_pretrained("sschet/biobert_genetic_ner")BioBERT model fine-tuned in NER task with JNLPBA and BC2GM corpus for genetic class entities.
This was fine-tuned in order to use it in a BioNER/BioNEN system which is available at: https://github.com/librairy/bio-ner
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sschet/biobert_genetic_ner")