Instructions to use pradeep4321/sentiment-analysis-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pradeep4321/sentiment-analysis-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pradeep4321/sentiment-analysis-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pradeep4321/sentiment-analysis-model") model = AutoModelForSequenceClassification.from_pretrained("pradeep4321/sentiment-analysis-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f41bbb3e302c6d08b4c22b6d0a5e2e1fde1c7711a8cd7e6fa5a6d7e5085f3ed5
- Size of remote file:
- 438 MB
- SHA256:
- 928a4045b14712671a83e4981df72be00b7dce49abbaceaa4ab0660f1536234e
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