Instructions to use hiert/testbert3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiert/testbert3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hiert/testbert3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hiert/testbert3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
README.md exists but content is empty.
Evaluation results
- pass@1 on humanevalself-reported0.155
- pass@10 on humanevalself-reported0.328
- pass@100 on humanevalself-reported0.572