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:
- 92079b6a76bc807e20d5031e1987605733732af904fee10ab201cdf97670acb8
- Size of remote file:
- 438 MB
- SHA256:
- 2346e8d096e7b185c2ad63852ae0ae77543a89534d712f6bed9fcfb393a85d67
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