Fill-Mask
Transformers
Safetensors
PyTorch
English
saute
feature-extraction
masked-language-modeling
dialogue
speaker-aware
transformer
custom_code
Instructions to use JustinDuc/saute with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustinDuc/saute with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JustinDuc/saute", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JustinDuc/saute", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __init__.py from JustinDuc/saute: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
-
https://huggingface.co/JustinDuc/saute/resolve/main/__init__.py
- Command line
-
hf download hf://JustinDuc/saute/__init__.py
-
curl -L -o __init__.py https://huggingface.co/JustinDuc/saute/resolve/main/__init__.py
0 Bytes