Instructions to use mrm8488/bert-tiny-2-finetuned-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-tiny-2-finetuned-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/bert-tiny-2-finetuned-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-tiny-2-finetuned-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/bert-tiny-2-finetuned-squadv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c28ab697c769d85e1f60d5a0259061a4743161a01285eb6e766a235ae8e95285
- Size of remote file:
- 20.7 MB
- SHA256:
- 541ba3766fe9f0f8c8537c956d279bb64170e8e5ada55921d3cf3f3a3e941f5c
路
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