Instructions to use mrm8488/bert-small-finetuned-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-small-finetuned-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/bert-small-finetuned-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-small-finetuned-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/bert-small-finetuned-squadv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 734d7f8b848bb523963131ee65f57a39387e3f4507f82738493f24d1596bf254
- Size of remote file:
- 115 MB
- SHA256:
- 3a83f095b6f4e1f6b961c123ec833f0057a6d56d33ec0205cdcc416aa5bff491
路
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