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, | |
| "total_flos": 7533320592942900.0, | |
| "train_loss": 0.2684423640464087, | |
| "train_runtime": 3411.3354, | |
| "train_samples_per_second": 29.814, | |
| "train_steps_per_second": 1.864 | |
| } |