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:
- 3f63aba1f53454460036ae911db1506073494109a4a42e55702483417180343d
- Size of remote file:
- 3.58 kB
- SHA256:
- 97d5614de701992820b3e8bf0aafc9063b9d93f87125760b64957e0a590ecfa3
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