Instructions to use sami606713/Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sami606713/Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sami606713/Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sami606713/Model") model = AutoModelForSequenceClassification.from_pretrained("sami606713/Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb5091292d0444c9b6791bde84b1eb4c9d918d7ce9836adbf2d3c12dead22e19
- Size of remote file:
- 268 MB
- SHA256:
- dc7bfd967927c5683fbcabdd2f3ba0ce48466b06570192d3810ec0ba09717e43
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