Zero-Shot Classification
Transformers
Safetensors
English
qwen3_5
feature-extraction
ollaya
sura
decision
classification
distillation
Instructions to use ollaya-dev/sura-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ollaya-dev/sura-0.8b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="ollaya-dev/sura-0.8b")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ollaya-dev/sura-0.8b") model = AutoModel.from_pretrained("ollaya-dev/sura-0.8b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ollaya-dev/sura-0.8b: direct link, hf CLI and curl.
- Browser
- Download file 1.71 GB
-
https://huggingface.co/ollaya-dev/sura-0.8b/resolve/main/model.safetensors
- Command line
-
hf download hf://ollaya-dev/sura-0.8b/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ollaya-dev/sura-0.8b/resolve/main/model.safetensors
1.71 GB
- Xet hash:
- 2717bd0c6797e9dcc70215dfde47278633de36cd603187b821090b6293bd059a
- Size of remote file:
- 1.71 GB
- SHA256:
- f5bd00594d507c9eba4ad248f01ee110830fd23fa27808f49468a6df81ea6b5b
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