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:
- 441a8eb24d5cc21a01a81bc1c93f836ee81271d6f5c1e2e41d47f714a45e426f
- Size of remote file:
- 3.96 kB
- SHA256:
- 1028f8a5a6667c45abcfab066d79dc583382f9b6f6f9c809ea2ce05f52ebeff7
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