Instructions to use Matheusmatos2916/MRC_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matheusmatos2916/MRC_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Matheusmatos2916/MRC_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Matheusmatos2916/MRC_v2") model = AutoModelForQuestionAnswering.from_pretrained("Matheusmatos2916/MRC_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a50a11f6dbfaec310305e966464390f0be2360106fdb916824507951298c9a6
- Size of remote file:
- 496 MB
- SHA256:
- aca7339b0956dfb74614f57efb267f145389788424d27c977c96df5b40f4db0a
路
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