Text Classification
Transformers
Safetensors
smollm3
agent-safety
tool-calling
guardrail
long-context
Eval Results (legacy)
Instructions to use ProCreations/auto-3b-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-3b-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-3b-3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-3b-3") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-3b-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/errors.png from ProCreations/auto-3b-3: direct link, hf CLI and curl.
- Browser
- Download file 246 kB
-
https://huggingface.co/ProCreations/auto-3b-3/resolve/main/assets/errors.png
- Command line
-
hf download hf://ProCreations/auto-3b-3/assets/errors.png
-
curl -L -o errors.png https://huggingface.co/ProCreations/auto-3b-3/resolve/main/assets/errors.png
246 kB

- Xet hash:
- d83c61cf4296ea8ef8bceceb7f2eb8fb455faec2a16d92010e60c689d39c6d20
- Size of remote file:
- 246 kB
- SHA256:
- 8a9bd7ddb213f2cf604be6a7194bf5fb0dcd7bb4da2b2d732fa52b510fbbb4ce
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