How to use ml4pubmed/bluebert-pubmed-uncased-L-12-H-768-A-12_pub_section with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ml4pubmed/bluebert-pubmed-uncased-L-12-H-768-A-12_pub_section")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ml4pubmed/bluebert-pubmed-uncased-L-12-H-768-A-12_pub_section") model = AutoModelForSequenceClassification.from_pretrained("ml4pubmed/bluebert-pubmed-uncased-L-12-H-768-A-12_pub_section", device_map="auto")
https://huggingface.co/ml4pubmed/bluebert-pubmed-uncased-L-12-H-768-A-12_pub_section/resolve/d713f3b2b892b0049aa01d7cf0f56b08310c512c/tokenizer.json
hf download hf://ml4pubmed/bluebert-pubmed-uncased-L-12-H-768-A-12_pub_section@d713f3b2b892b0049aa01d7cf0f56b08310c512c/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ml4pubmed/bluebert-pubmed-uncased-L-12-H-768-A-12_pub_section/resolve/d713f3b2b892b0049aa01d7cf0f56b08310c512c/tokenizer.json
