Instructions to use smaswin21/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smaswin21/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="smaswin21/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("smaswin21/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("smaswin21/test_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9ddcb3931b0f416300bb313d15770210a3822a21152477cf65f23cfcea97b64
- Size of remote file:
- 5.18 kB
- SHA256:
- 810fa48698e8e4fc3477bee452dccc8117da0571aedb634502aa457588a57e49
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