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:
- 45331c61bbfeb3423b11379add599f2e37b130fc4dfe7697d2f05d0aaa8df5fb
- Size of remote file:
- 4.03 kB
- SHA256:
- 2c2e6cc271ff35b2af3616a0b64e361b35c4a78eabb6779190a88c3d53d5cfc3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.