Text Classification
Transformers
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use Tiime/camembert-pcg-annotation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tiime/camembert-pcg-annotation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tiime/camembert-pcg-annotation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tiime/camembert-pcg-annotation") model = AutoModelForSequenceClassification.from_pretrained("Tiime/camembert-pcg-annotation") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files- config.json +0 -0
- model.safetensors +2 -2
- training_args.bin +1 -1
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