Instructions to use karalif/myTestModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karalif/myTestModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karalif/myTestModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karalif/myTestModel") model = AutoModelForSequenceClassification.from_pretrained("karalif/myTestModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05e8e6932d0bc6e59997873b9de035fa904aca166c8c9690a729479e977c8e46
- Size of remote file:
- 1.42 GB
- SHA256:
- ab988f4cce5ad0902cedc4dc2b9d983516295da3488ead7f1fe67afe65a5079e
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