Instructions to use lebretou/code-human-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lebretou/code-human-ai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lebretou/code-human-ai")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lebretou/code-human-ai") model = AutoModelForSequenceClassification.from_pretrained("lebretou/code-human-ai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8e925ee51fce937a99bdef5e49085350c075f8cad4f848ea53932b9c96fed4d
- Size of remote file:
- 271 Bytes
- SHA256:
- 64630d49542bd7675bb82e14d5bc885356bc8b72cd59df0b0e81a0108e316f8a
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