Instructions to use Mwnthai/legal-led with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mwnthai/legal-led with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Mwnthai/legal-led")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Mwnthai/legal-led") model = AutoModelForMaskedLM.from_pretrained("Mwnthai/legal-led", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "predict_gen_len": 64.0, | |
| "predict_loss": 2.775001049041748, | |
| "predict_model_preparation_time": 0.0051, | |
| "predict_rouge1": 0.0, | |
| "predict_rouge2": 0.0, | |
| "predict_rougeL": 0.0, | |
| "predict_rougeLsum": 0.0, | |
| "predict_runtime": 11.4472, | |
| "predict_samples": 100, | |
| "predict_samples_per_second": 8.736, | |
| "predict_steps_per_second": 1.136 | |
| } |