Instructions to use mrm8488/bert-tiny-finetuned-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-tiny-finetuned-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/bert-tiny-finetuned-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-tiny-finetuned-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/bert-tiny-finetuned-squadv2") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f43f686c4838c4783484f343ea74be3b84e88aef98f592e4792fa872d5c8c0cb
- Size of remote file:
- 17.6 MB
- SHA256:
- 1b0e28d9e21beb1df101fd56b6290f4fe7ad70a5daf101251d594efe3bd80752
路
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