Instructions to use Frenz/modelsent_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Frenz/modelsent_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Frenz/modelsent_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Frenz/modelsent_test") model = AutoModelForSequenceClassification.from_pretrained("Frenz/modelsent_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32e71063d370b96fc5c3c9db047d97a093f7defa21c34a6c8e468dad3be85f64
- Size of remote file:
- 5.3 kB
- SHA256:
- a337fbf44afe7056ea7d2ba6e5b5fcc3a1c2c2c6b87676da4257ff9d0586eb8c
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