Token Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use Rodrigo1771/bsc-bio-ehr-es-cantemist-fasttext-75-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rodrigo1771/bsc-bio-ehr-es-cantemist-fasttext-75-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Rodrigo1771/bsc-bio-ehr-es-cantemist-fasttext-75-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Rodrigo1771/bsc-bio-ehr-es-cantemist-fasttext-75-ner") model = AutoModelForTokenClassification.from_pretrained("Rodrigo1771/bsc-bio-ehr-es-cantemist-fasttext-75-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 905 Bytes
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"eval_recall": 0.8562426152028357,
"eval_runtime": 15.6141,
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} |