Instructions to use srcocotero/tiny-bert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srcocotero/tiny-bert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="srcocotero/tiny-bert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("srcocotero/tiny-bert-qa") model = AutoModelForQuestionAnswering.from_pretrained("srcocotero/tiny-bert-qa") - Notebooks
- Google Colab
- Kaggle
File size: 124 Bytes
b026816 | 1 2 3 4 5 6 | {
"epoch": 3.0,
"eval_exact_match": 37.27530747398297,
"eval_f1": 49.68808218359664,
"eval_samples": 10626
} |