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:
- 8dc42257712174271974fdbbd7ac6bb8ac6c10fe59466e728dc7d8371bafb0e0
- Size of remote file:
- 438 MB
- SHA256:
- 8e0eba9bc7284e0ae0b6acd3ad020bb4b4990aaa946bfb34e54bd8ea13593bdf
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