Instructions to use mrm8488/bert-tiny-3-finetuned-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-tiny-3-finetuned-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/bert-tiny-3-finetuned-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-tiny-3-finetuned-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/bert-tiny-3-finetuned-squadv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 796582a00091e4f5da93ed9116aa183ac1214e0bf7e70c97ff2abd63f9945196
- Size of remote file:
- 22.2 MB
- SHA256:
- d3e6234e06a00a5d5c0fad7a4c1a2179f790890a5c6abbf2580b847f64fabce3
路
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