Instructions to use andyP/ro-sentiment-02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andyP/ro-sentiment-02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andyP/ro-sentiment-02")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andyP/ro-sentiment-02") model = AutoModelForSequenceClassification.from_pretrained("andyP/ro-sentiment-02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbd95b829d0668186f0a53e430963459b00ab1e0a374ce97a66adeefabd681fd
- Size of remote file:
- 460 MB
- SHA256:
- 32a7f0463bd522515c347259bc43e9cf6c1d8e5c329b91a5df24b71fb23d1090
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