Instructions to use Asif1997/sentiment-analysis-tweets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Asif1997/sentiment-analysis-tweets with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Asif1997/sentiment-analysis-tweets")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Asif1997/sentiment-analysis-tweets") model = AutoModelForSequenceClassification.from_pretrained("Asif1997/sentiment-analysis-tweets") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f471bd26b6119af1572393c46e3423edb2a9eeba752cf3ae125a19741f511ed7
- Size of remote file:
- 3.58 kB
- SHA256:
- 890daadb08f271f66fb94baa339e543af2fb0e3b5baf72258e9831a6192951b0
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