Instructions to use HeTree/HeCross with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HeTree/HeCross with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="HeTree/HeCross")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HeTree/HeCross") model = AutoModelForSequenceClassification.from_pretrained("HeTree/HeCross") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d53610d51da494ab9e95939ab059338feb0a35f2ca35a483ec14ef18690fb64
- Size of remote file:
- 499 MB
- SHA256:
- 46d479244bb6046fa0e39022f12097bfc67e65c4888f564f439260f273f1647a
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