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
| { | |
| "predict_accuracy": 0.9922143301576527, | |
| "predict_f1": 0.8534459275401798, | |
| "predict_loss": 0.044904835522174835, | |
| "predict_precision": 0.8332446808510638, | |
| "predict_recall": 0.8746510329424902, | |
| "predict_runtime": 23.1419, | |
| "predict_samples_per_second": 468.329, | |
| "predict_steps_per_second": 58.552 | |
| } |