Instructions to use Cournane/roberta-base-finetuned-Socks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-finetuned-Socks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-finetuned-Socks")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-finetuned-Socks") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-finetuned-Socks") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afa0f789354bf057200bcab31f90a8241fc62b117ffce850d3f489f4b4941fee
- Size of remote file:
- 499 MB
- SHA256:
- e26980ddb363b655506a893a15548b0181e6babe050bd77319cd1d2a263adb33
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