Instructions to use Meziane/three_question with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Meziane/three_question with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Meziane/three_question")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Meziane/three_question") model = AutoModelForQuestionAnswering.from_pretrained("Meziane/three_question", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01cac751940a4fba94d173ce9bb3cfb5218fe2e17613aa5b46f8d693b8a3ee00
- Size of remote file:
- 867 MB
- SHA256:
- f5bf9c4a48482aefb2d4df0f8de4d9196658c44c2dcc6f0c014bde1591192059
路
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