Instructions to use Sudheer17/Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sudheer17/Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sudheer17/Sentiment")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sudheer17/Sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8feb75e41995c63e721698ec010422dbcc02aa9fe48ab42ee43caea2b76ce917
- Size of remote file:
- 5.2 kB
- SHA256:
- a5f46ebeeb7b4b659a09be9c7e432134689f49a0c274137d56af13482c5d46f7
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