Instructions to use Mardiyyah/CeLLaTe-ner-2class-pubmedbert-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mardiyyah/CeLLaTe-ner-2class-pubmedbert-baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mardiyyah/CeLLaTe-ner-2class-pubmedbert-baseline")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Mardiyyah/CeLLaTe-ner-2class-pubmedbert-baseline") model = AutoModelForTokenClassification.from_pretrained("Mardiyyah/CeLLaTe-ner-2class-pubmedbert-baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 781932736243b31f6ecdd9bda306f1777f5a5e3ab9df422140f88d0889da0cbd
- Size of remote file:
- 5.82 kB
- SHA256:
- 91fe316586c2568e632be9ee550554e3224ce453fd033ff48016b48c9277856a
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