Instructions to use silkski/verb-class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silkski/verb-class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="silkski/verb-class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("silkski/verb-class") model = AutoModelForSequenceClassification.from_pretrained("silkski/verb-class") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb02ffe6fc426bcad314a8a072b3ffdf60b32282a63f82a25c4b6da8eb7d4e84
- Size of remote file:
- 3.2 kB
- SHA256:
- 4cb8e832aa9125ff9bd0da1b1126b5a5ada535552d9a8bc20ce55b56119a11a7
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