Instructions to use Cournane/roberta-base-reduced-Hat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-reduced-Hat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-reduced-Hat")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-reduced-Hat") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-reduced-Hat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d61212108719260e5a54602fba5719e984cf91eebc4a1edd49ea837dc1562110
- Size of remote file:
- 3.9 kB
- SHA256:
- bf9cd894e1c6fc3b84a3498ef84b16ac5dae960460753738f5dcfe7260540968
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