Instructions to use mrm8488/spanbert-finetuned-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/spanbert-finetuned-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/spanbert-finetuned-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/spanbert-finetuned-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/spanbert-finetuned-squadv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7af3449767bfd7846c74b3ef02b3d70a5e1322cf094a5c61cb875a785a5882cb
- Size of remote file:
- 431 MB
- SHA256:
- 2232e461f9ee3cede2d028b6b87b9951b4fda75fef088fbbfbab39c73fad64fa
路
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