Instructions to use Mardiyyah/CeLLaTe-ner-2class-pubmedbert-tapt-tokenizer-adapted-spanmask-combData-lr_4.636 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mardiyyah/CeLLaTe-ner-2class-pubmedbert-tapt-tokenizer-adapted-spanmask-combData-lr_4.636 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mardiyyah/CeLLaTe-ner-2class-pubmedbert-tapt-tokenizer-adapted-spanmask-combData-lr_4.636")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Mardiyyah/CeLLaTe-ner-2class-pubmedbert-tapt-tokenizer-adapted-spanmask-combData-lr_4.636") model = AutoModelForTokenClassification.from_pretrained("Mardiyyah/CeLLaTe-ner-2class-pubmedbert-tapt-tokenizer-adapted-spanmask-combData-lr_4.636", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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