Instructions to use Cournane/roberta-base-reduced-Socks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-reduced-Socks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-reduced-Socks")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-reduced-Socks") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-reduced-Socks") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a46164013e0af0e427e616eaafae9611f04c6dad803edf3af9d0e5a997ae328
- Size of remote file:
- 3.9 kB
- SHA256:
- bdfaf0ac6d136f05fd095782867c83f9b971dc78077c36bf756492be4e812c38
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