Instructions to use dev-senolys/flaubert_base_fine_tunned_themas_balanced_weight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dev-senolys/flaubert_base_fine_tunned_themas_balanced_weight with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dev-senolys/flaubert_base_fine_tunned_themas_balanced_weight")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dev-senolys/flaubert_base_fine_tunned_themas_balanced_weight") model = AutoModelForSequenceClassification.from_pretrained("dev-senolys/flaubert_base_fine_tunned_themas_balanced_weight", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea680ab3ef768a050fff6e96b4ef5edcdb40160ffd377ae42acb65401c8678ce
- Size of remote file:
- 3.96 kB
- SHA256:
- 698705ce8533067724ae6a0c1b3cf70bbd592e536f0e51f502b83557731afb5f
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