Instructions to use CCTD/LLM_Regression_Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CCTD/LLM_Regression_Test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CCTD/LLM_Regression_Test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CCTD/LLM_Regression_Test") model = AutoModelForSequenceClassification.from_pretrained("CCTD/LLM_Regression_Test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 779e6ede40503edf9382699a02fa2e0a06d35dd64cb45135845c5be7bb4a6601
- Size of remote file:
- 433 MB
- SHA256:
- 008479c72c776e210f6e886982cea063f7b341be50610998c3db8981a18eb4f7
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