Instructions to use Cournane/roberta-base-labels-SleeveLength with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-labels-SleeveLength with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-labels-SleeveLength")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-labels-SleeveLength") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-labels-SleeveLength") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0423bd5dbf326c1028579479b7b884e841b241ba442bbc8f4779e2da729efd28
- Size of remote file:
- 499 MB
- SHA256:
- ed00e8abd39fa31586f2688ab6be8c0eec1bdf73669469d4b9b7b69bfa7b56a8
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