Instructions to use Cournane/roberta-base-labels-Socks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-labels-Socks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-labels-Socks")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-labels-Socks") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-labels-Socks") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb91de2de56616680b9f4d448d56fbb611016a246d25a7594bf3abbfa46f6c4b
- Size of remote file:
- 3.9 kB
- SHA256:
- d3656b8a8c987cc09b683180be1685e7b9118b9b57d091ed9028d61bb7e6f6ce
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