Fill-Mask
Transformers
Safetensors
English
deberta-v2
babylm
babylm-2026
strict-small
qiushi-engine
data-efficient-learning
custom_code
Instructions to use leslie721007/Qiushi-Engine-Frontier-Advancement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leslie721007/Qiushi-Engine-Frontier-Advancement with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="leslie721007/Qiushi-Engine-Frontier-Advancement", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("leslie721007/Qiushi-Engine-Frontier-Advancement", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("leslie721007/Qiushi-Engine-Frontier-Advancement", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!