Instructions to use mrm8488/bert-small-2-finetuned-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-small-2-finetuned-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/bert-small-2-finetuned-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-small-2-finetuned-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/bert-small-2-finetuned-squadv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b90fddfeecabd532f35fda0805fb09d424eeae28b215f98d01d098548ab5834a
- Size of remote file:
- 139 MB
- SHA256:
- fb65e0090735a9ae720a210db1e2f5cdee39cd46fb6a97490532118fd6b4340e
路
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