Instructions to use bertin-project/bertin-base-ner-conll2002-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-ner-conll2002-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bertin-project/bertin-base-ner-conll2002-es")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-ner-conll2002-es") model = AutoModelForTokenClassification.from_pretrained("bertin-project/bertin-base-ner-conll2002-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9810101468170739, | |
| "eval_f1": 0.8706660583941607, | |
| "eval_loss": 0.092462919652462, | |
| "eval_precision": 0.8643568840579711, | |
| "eval_recall": 0.8770680147058824, | |
| "eval_runtime": 19.171, | |
| "eval_samples": 1916, | |
| "eval_samples_per_second": 99.942, | |
| "eval_steps_per_second": 6.259 | |
| } |