Instructions to use remunds/MiniLM_NaturalQuestions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use remunds/MiniLM_NaturalQuestions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="remunds/MiniLM_NaturalQuestions")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("remunds/MiniLM_NaturalQuestions") model = AutoModelForQuestionAnswering.from_pretrained("remunds/MiniLM_NaturalQuestions") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 1.83, | |
| "eval_exact_match": 67.13929573075724, | |
| "eval_f1": 79.12211169002747, | |
| "eval_runtime": 180.1273, | |
| "eval_samples": 19278, | |
| "eval_samples_per_second": 107.024, | |
| "eval_steps_per_second": 13.379 | |
| } |