Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
maincode
matilda
custom_code
Instructions to use Maincode/Matilda-Decision-v1-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maincode/Matilda-Decision-v1-Mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Maincode/Matilda-Decision-v1-Mini", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Maincode/Matilda-Decision-v1-Mini", trust_remote_code=True) model = AutoModel.from_pretrained("Maincode/Matilda-Decision-v1-Mini", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download readout.safetensors from Maincode/Matilda-Decision-v1-Mini: direct link, hf CLI and curl.
- Browser
- Download file 2.61 MB
-
https://huggingface.co/Maincode/Matilda-Decision-v1-Mini/resolve/main/readout.safetensors
- Command line
-
hf download hf://Maincode/Matilda-Decision-v1-Mini/readout.safetensors
-
curl -L -o readout.safetensors https://huggingface.co/Maincode/Matilda-Decision-v1-Mini/resolve/main/readout.safetensors
2.61 MB
- Xet hash:
- 294f871e4ef6b6832dea7135c601b5972e7d5b72147ef8080e8c497cf6f01b4d
- Size of remote file:
- 2.61 MB
- SHA256:
- fd9fd97391c94446e7b8d4815fac922845321fd3af6e211563e9035d8bec44f9
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