Token Classification
Transformers
Safetensors
Spanish
bert
ner
biomedical
clinical
oncology
prostate-cancer
spanish
Instructions to use Test-FineTuning/bert-base-uncased-finetuned-ner-prostata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Test-FineTuning/bert-base-uncased-finetuned-ner-prostata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Test-FineTuning/bert-base-uncased-finetuned-ner-prostata")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Test-FineTuning/bert-base-uncased-finetuned-ner-prostata") model = AutoModelForTokenClassification.from_pretrained("Test-FineTuning/bert-base-uncased-finetuned-ner-prostata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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