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:
- 81ee4bb461c4b200513eecbca59b52f3df4141174b06974b34dd82ff4f333caf
- Size of remote file:
- 553 MB
- SHA256:
- 5feb1736119e0b5e513c26e05d2cb4f24ab519afb33cd0825365c2ef64aa4d02
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