Instructions to use KhaZix0827/test_trainer4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KhaZix0827/test_trainer4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KhaZix0827/test_trainer4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KhaZix0827/test_trainer4") model = AutoModelForSequenceClassification.from_pretrained("KhaZix0827/test_trainer4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64307ac5bdd64c6f007751844f2f26776e64916b61037edf41976e8605321e2d
- Size of remote file:
- 3.89 kB
- SHA256:
- d7aa95be756a8e58f3723bef30c7f716b401d84cf5aefc1b92cbba15124e4bf9
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