Instructions to use RomanCast/camembert-miam-loria-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RomanCast/camembert-miam-loria-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RomanCast/camembert-miam-loria-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RomanCast/camembert-miam-loria-finetuned") model = AutoModelForSequenceClassification.from_pretrained("RomanCast/camembert-miam-loria-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8556795b82e53934b864e11ed91b850deb7f7179e8d70ebe193477c9f27a622a
- Size of remote file:
- 443 MB
- SHA256:
- 986c62ca8e56d00908702489204c913abc67ea696ecf788daa22e176c9fbefef
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