Instructions to use EsferSami/BanglaHealthNER-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EsferSami/BanglaHealthNER-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EsferSami/BanglaHealthNER-Model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EsferSami/BanglaHealthNER-Model") model = AutoModelForTokenClassification.from_pretrained("EsferSami/BanglaHealthNER-Model") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8980220165782202, | |
| "eval_f1": 0.5937273689488052, | |
| "eval_loss": 0.2843812108039856, | |
| "eval_precision": 0.5615976393719043, | |
| "eval_recall": 0.62975655873316, | |
| "eval_runtime": 33.1628, | |
| "eval_samples_per_second": 95.86, | |
| "eval_steps_per_second": 6.001 | |
| } |