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:
- 876f72359c9406c6e94522d1919e5c86a8d7cffc40dffc99326ae993ebcd19fd
- Size of remote file:
- 4.92 kB
- SHA256:
- 06ab9ec733999b8b864e080564fa5a0cc3543db4644af91581f40c86936c1d22
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