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:
- d1fbc6e49d9bc18b39759d70f81f54b326aa37ce971eea76322697b2c94d2ba4
- Size of remote file:
- 3.58 kB
- SHA256:
- c06ea90525cec4c6470278f24bd69375df4fab36416d23244b55ee09edfe7237
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