Instructions to use rithwik-db/sentiment_version_13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rithwik-db/sentiment_version_13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rithwik-db/sentiment_version_13")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rithwik-db/sentiment_version_13") model = AutoModelForSequenceClassification.from_pretrained("rithwik-db/sentiment_version_13") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5f5327d12fca4c7bdb0768de505ad505044fa844be39591c365fd3d34b464d3
- Size of remote file:
- 268 MB
- SHA256:
- 003ddd515e545da7ed5b3e9ac3a4a1fcbcd85844ca7d08d9f93ffbfad63100f2
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