Token Classification
Transformers
Safetensors
Spanish
xlm-roberta
ner
named-entity-recognition
cancer
salud
huggingface
Eval Results (legacy)
Instructions to use FernandoValencia/XLM-RoBERTa_prostata_bs8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FernandoValencia/XLM-RoBERTa_prostata_bs8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="FernandoValencia/XLM-RoBERTa_prostata_bs8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("FernandoValencia/XLM-RoBERTa_prostata_bs8") model = AutoModelForTokenClassification.from_pretrained("FernandoValencia/XLM-RoBERTa_prostata_bs8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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