Text Classification
Transformers
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use DioulaD/classifier-camembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DioulaD/classifier-camembert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DioulaD/classifier-camembert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DioulaD/classifier-camembert") model = AutoModelForSequenceClassification.from_pretrained("DioulaD/classifier-camembert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74a9363d996b025fe51f02ffc07845c71e81b560220953aa8634da0916f56a7a
- Size of remote file:
- 4.86 kB
- SHA256:
- b2e9cc1d6260ea31dd1c8511477f20f74a4232307a1d4df52fa36afa1f6bcb0a
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