Text Classification
Transformers
PyTorch
TensorBoard
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use dev-senolys/camembert_base_fine_tunned_categories with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dev-senolys/camembert_base_fine_tunned_categories with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dev-senolys/camembert_base_fine_tunned_categories")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dev-senolys/camembert_base_fine_tunned_categories") model = AutoModelForSequenceClassification.from_pretrained("dev-senolys/camembert_base_fine_tunned_categories") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:18f6b1b346e0f3cf7458f9439d849efbc6c3633115efe2ee1a91ff09df71e2b3
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size 442553072
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