Instructions to use gustavecortal/roberta-tec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gustavecortal/roberta-tec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gustavecortal/roberta-tec")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gustavecortal/roberta-tec") model = AutoModelForSequenceClassification.from_pretrained("gustavecortal/roberta-tec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ae778c3e1ce551f77a0dcdc634a5cc69973d13da9c7d876d5d2933eb09d973d
- Size of remote file:
- 499 MB
- SHA256:
- e745da2a66f85c40754d0bf7f241e9dc3619822f7da7f28807363829b48da3f4
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