Instructions to use dejanseo/sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dejanseo/sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dejanseo/sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dejanseo/sentiment") model = AutoModelForSequenceClassification.from_pretrained("dejanseo/sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d1f7c23b3e62aea5a83e2bf7d9415c08ef7a9c513088cfb765130f033357486
- Size of remote file:
- 93.5 MB
- SHA256:
- 704f791ee5f506d1446755aba52655f550919e98e43e56ccdc85c0193627fb08
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