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 training_config.json from ProCreations/auto-3b-3: direct link, hf CLI and curl.
- Browser
- Download file 298 Bytes
-
https://huggingface.co/ProCreations/auto-3b-3/resolve/main/training_config.json
- Command line
-
hf download hf://ProCreations/auto-3b-3/training_config.json
-
curl -L -o training_config.json https://huggingface.co/ProCreations/auto-3b-3/resolve/main/training_config.json
298 Bytes
| { | |
| "lr": 5e-06, | |
| "epochs": 2, | |
| "alpha": 0.8, | |
| "temperature": 2.0, | |
| "max_batch": 64, | |
| "warmup_frac": 0.03, | |
| "min_lr_fraction": 0.1, | |
| "replay_ratio": 0.4, | |
| "extra": true, | |
| "severe_weight": 1.5, | |
| "hard_weight": 1.5, | |
| "name": "auto3b_v3", | |
| "margin_weight": 0.5, | |
| "margin": 4.0, | |
| "token_budget": 32768 | |
| } |