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
File size: 134 Bytes
3f82c70 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fe05e3ee70f0872a1a8103c1a3057b6c693f9555fcf27edfc8d7f77f17332fc2
size 438055177
|