Instructions to use Anvil-ML/detecteur-ia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anvil-ML/detecteur-ia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anvil-ML/detecteur-ia")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anvil-ML/detecteur-ia") model = AutoModelForSequenceClassification.from_pretrained("Anvil-ML/detecteur-ia", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (38cf738854fb07fb4856d351a950ece4787eaadc) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b68147e
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