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:
- 07361a3c667ca299d1a75db7a0115a034736c8f3fd359a4e672f5dd1ef85d1c0
- Size of remote file:
- 4.47 kB
- SHA256:
- 305256765a5aee0bd9d9a59f2aaea96ab6536ae8be18ab15fef6525d706eebea
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