Instructions to use Abris/input_classifier_v3_muppet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abris/input_classifier_v3_muppet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Abris/input_classifier_v3_muppet")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Abris/input_classifier_v3_muppet") model = AutoModelForSequenceClassification.from_pretrained("Abris/input_classifier_v3_muppet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2264a6aaa306f458cc3188302e2665e0a2357a06e8e05f81a8b628a22f473ba0
- Size of remote file:
- 3.96 kB
- SHA256:
- f5f6c188ff3dbb9a37c5e57c4cbb8bf1ecd0e1f839c3cd37014999463c74ccbe
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