Instructions to use rithwik-db/sentiment_version_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rithwik-db/sentiment_version_12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rithwik-db/sentiment_version_12")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rithwik-db/sentiment_version_12") model = AutoModelForSequenceClassification.from_pretrained("rithwik-db/sentiment_version_12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c3945475e0cbf844c8d3d1f7ea00cd87873b8e9433bb10df3df6766f20135aa
- Size of remote file:
- 268 MB
- SHA256:
- aa0e1040a3c3acda7c8feb2b1a37f280ee0ca09fa1abdf31569feceaed4577b1
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