Text Classification
Transformers
Safetensors
smollm3
agent-safety
tool-calling
long-context
Eval Results (legacy)
Instructions to use ProCreations/auto-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-3b")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-3b") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Release auto-3b (SmolLM3-3B-Base approve/deny classifier, 98.03% on Approve-or-Deny)
58323da verified Download tokenizer.json from ProCreations/auto-3b: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/ProCreations/auto-3b/resolve/main/tokenizer.json
- Command line
-
hf download hf://ProCreations/auto-3b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ProCreations/auto-3b/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- bf85772905c05071eac8b295df5a86031e37cf207d570a3ad27e99dcff4e62b0
- Size of remote file:
- 17.2 MB
- SHA256:
- ab4da6b2aa68247e9c0fa9b97fc7fcc796505038d01f7e144522a65ce0dbd2e5
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