Instructions to use ml4pubmed/BioM-BERT-PubMed-PMC-Large_pub_section with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml4pubmed/BioM-BERT-PubMed-PMC-Large_pub_section with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ml4pubmed/BioM-BERT-PubMed-PMC-Large_pub_section")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ml4pubmed/BioM-BERT-PubMed-PMC-Large_pub_section") model = AutoModelForSequenceClassification.from_pretrained("ml4pubmed/BioM-BERT-PubMed-PMC-Large_pub_section", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00d606f88b61b988387005050e3419ed0f312676d1b3768f5cea77b9b601b41a
- Size of remote file:
- 1.34 GB
- SHA256:
- f18fae000512775b926be8ee54721c314cdeb860d6b3ac11e1d6f99f1beac1cc
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