Instructions to use andyP/ro-sentiment-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andyP/ro-sentiment-01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andyP/ro-sentiment-01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andyP/ro-sentiment-01") model = AutoModelForSequenceClassification.from_pretrained("andyP/ro-sentiment-01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 234ae3a187523628e86ce4a4f4c90318e4433f7060b253537b1b0f28c207dbd7
- Size of remote file:
- 460 MB
- SHA256:
- ee587bc607bbf2bfa6a63431ba5d9fcac735469d79f861f014ab401c0869f7a4
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