Instructions to use Howosn/Sentiment_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Howosn/Sentiment_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Howosn/Sentiment_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Howosn/Sentiment_Model") model = AutoModelForSequenceClassification.from_pretrained("Howosn/Sentiment_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b95c3cfc6a28b31552c88365272f447a994b7a959c6efe40345474a47094673
- Size of remote file:
- 328 MB
- SHA256:
- 717dd43ab107a840e036bca590274a57f788b28ea1a3ad1f797b3ab8110cc878
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