Instructions to use Yannis98/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yannis98/tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Yannis98/tmp")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Yannis98/tmp") model = AutoModelForQuestionAnswering.from_pretrained("Yannis98/tmp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2b7ac35da1c5e4db5b45094bdab99bda28c3e18feb8a01d903e86a107929233
- Size of remote file:
- 823 MB
- SHA256:
- 26bbe49807c22bf7a2581d98bd28ce1552dee917c7b3437f84d30428f90ad76a
路
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