Instructions to use Mardiyyah/CeLLaTe-ner-3class-pubmedbert-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mardiyyah/CeLLaTe-ner-3class-pubmedbert-baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mardiyyah/CeLLaTe-ner-3class-pubmedbert-baseline")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Mardiyyah/CeLLaTe-ner-3class-pubmedbert-baseline") model = AutoModelForTokenClassification.from_pretrained("Mardiyyah/CeLLaTe-ner-3class-pubmedbert-baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2b879f359edadf4619cd95019a341f906a9e3f2ce0ff957855a3d495359e5f0
- Size of remote file:
- 5.82 kB
- SHA256:
- eb136ea161f791bb8282e81906a0090efa9c184b7f118d24b544567200e08a4f
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