Instructions to use mrm8488/spanbert-finetuned-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/spanbert-finetuned-squadv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/spanbert-finetuned-squadv1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/spanbert-finetuned-squadv1") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/spanbert-finetuned-squadv1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b164ee13dcc5bea35554b7c8154b79b24bb78a7b287d55233f7761204d390021
- Size of remote file:
- 431 MB
- SHA256:
- 6e6d1e9bb73b00c9238a9eabdb5f094450cf47ff980691696b3dc9c94780b7f8
路
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