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:
- 01e3b72cc5d6cc1922ac6e390d00cfdb799d85dcc0cdaa51e6c03b8e1a0c314a
- Size of remote file:
- 17.5 MB
- SHA256:
- 75c79fbcec9810803e5516f41fcc1bbf1ed2209164eb6d86af26fd713491b964
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