Instructions to use JOOMINJI/Sentiment_analysis_0520 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JOOMINJI/Sentiment_analysis_0520 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JOOMINJI/Sentiment_analysis_0520")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JOOMINJI/Sentiment_analysis_0520") model = AutoModelForSequenceClassification.from_pretrained("JOOMINJI/Sentiment_analysis_0520") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d807070fa0d01ce6cd6fc936bb56dfe24d8b31e8efbf6d523e95dd93ff1a5d9f
- Size of remote file:
- 369 MB
- SHA256:
- ea98492564b85eee8c6ed8cfe4b9379db6d6ba00eb47e70c52eef7807229f23d
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