Instructions to use AntoineD/camembert_classification_tools_qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AntoineD/camembert_classification_tools_qlora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AntoineD/camembert_classification_tools_qlora")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AntoineD/camembert_classification_tools_qlora") model = AutoModelForSequenceClassification.from_pretrained("AntoineD/camembert_classification_tools_qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 061767364d4c333cc2eddd1f4dfc4a7cdd7365b79406b72666e65915dd9e0394
- Size of remote file:
- 443 MB
- SHA256:
- bf531640df4bdd454a0a83a3c4b3bbee4ab5c841cede82a5730bd333973d384e
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