Instructions to use 96harsh56/bert_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 96harsh56/bert_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="96harsh56/bert_test2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("96harsh56/bert_test2") model = AutoModelForQuestionAnswering.from_pretrained("96harsh56/bert_test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - squad_v2 | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| - f1 | |
| pipeline_tag: question-answering | |
| tags: | |
| - code | |