Instructions to use KhaZix0827/test_trainer2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KhaZix0827/test_trainer2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KhaZix0827/test_trainer2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KhaZix0827/test_trainer2") model = AutoModelForSequenceClassification.from_pretrained("KhaZix0827/test_trainer2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 011a73bb5fc3d1595c5930d6d2dd99a56852af07f347455b9d784e6ecb66ac64
- Size of remote file:
- 3.89 kB
- SHA256:
- d19ef5371b005e8cf37efae2a2f94abb5583bfabc90c914c29b90575158cb1df
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