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:
- 9431e17f0bafa8c27217fdb2aa6ec473fde14dfc100d0550e4633bafd0a18908
- Size of remote file:
- 4.09 kB
- SHA256:
- 18a53cfb36e4a26a0756ed2f2b64cc3200918fe59ee0537cdecfbc4addca4456
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