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:
- 0c9a5702cb0a8d08f6268703f207d570abe62614ed066629e8446e78e3b74cc1
- Size of remote file:
- 4.03 kB
- SHA256:
- 0883bf9a37ec37b518590696ce3cb277c5e20b9eba3993d28bacd36045a8e3e4
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