Instructions to use ml4pubmed/scibert-scivocab-cased_pub_section with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml4pubmed/scibert-scivocab-cased_pub_section with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ml4pubmed/scibert-scivocab-cased_pub_section")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ml4pubmed/scibert-scivocab-cased_pub_section") model = AutoModelForSequenceClassification.from_pretrained("ml4pubmed/scibert-scivocab-cased_pub_section", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (ccb71fab2e30e741204ba4674d046a0d75da22a7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>5d131e5
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