Instructions to use subbareddyoota/tree_depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyoota/tree_depth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="subbareddyoota/tree_depth")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("subbareddyoota/tree_depth") model = AutoModelForSequenceClassification.from_pretrained("subbareddyoota/tree_depth") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 722a76a46434a0470027235137a2735d593934aa608b69144b7c1502ef35d9f3
- Size of remote file:
- 438 MB
- SHA256:
- fe05e3ee70f0872a1a8103c1a3057b6c693f9555fcf27edfc8d7f77f17332fc2
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