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
File size: 232 Bytes
e5ffec8 | 1 2 3 4 5 6 7 8 9 | {
"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
} |