Instructions to use HeTree/HeConE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HeTree/HeConE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HeTree/HeConE")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HeTree/HeConE") model = AutoModelForTokenClassification.from_pretrained("HeTree/HeConE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33a249bf022d77d9c44d8e2120c50c56a085b154fbd5c05a9b1bc156f7573e88
- Size of remote file:
- 496 MB
- SHA256:
- ecb66cde2184f81dbdf42c8ec27c261e8c55adb952cebfb5a8eecbe25388ccb1
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