Instructions to use sinanyuksel/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sinanyuksel/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sinanyuksel/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sinanyuksel/test") model = AutoModelForSequenceClassification.from_pretrained("sinanyuksel/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae1ad1c58957c5a05ae9aa3d25f6572916cd6b5ef6de919848c4d889ef5f991d
- Size of remote file:
- 443 MB
- SHA256:
- 9d7fcdaed51b0b02106cf2fcfd5c70c8626537b2706d75eb9d3df151bd532573
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