Instructions to use mrm8488/spanbert-base-finetuned-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/spanbert-base-finetuned-squadv1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrm8488/spanbert-base-finetuned-squadv1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2085764df79f88ee58ab874f5dee0f5a11831925df85099ecbbb1f6f6fc1ce77
- Size of remote file:
- 667 MB
- SHA256:
- f89547874eb7988664e3e0c140b3f4687da32d84dd8021a70ffcb84f26cae424
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