Text Classification
Transformers
Safetensors
modernbert
agent-safety
tool-calling
long-context
distillation
Eval Results (legacy)
text-embeddings-inference
Instructions to use ProCreations/auto-0.4b-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-0.4b-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-0.4b-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-0.4b-2") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-0.4b-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval/iteration-1/kd_b_aug-step-870-calibration.json from ProCreations/auto-0.4b-2: direct link, hf CLI and curl.
- Browser
- Download file 141 Bytes
-
https://huggingface.co/ProCreations/auto-0.4b-2/resolve/main/eval/iteration-1/kd_b_aug-step-870-calibration.json
- Command line
-
hf download hf://ProCreations/auto-0.4b-2/eval/iteration-1/kd_b_aug-step-870-calibration.json
-
curl -L -o kd_b_aug-step-870-calibration.json https://huggingface.co/ProCreations/auto-0.4b-2/resolve/main/eval/iteration-1/kd_b_aug-step-870-calibration.json
141 Bytes
| { | |
| "threshold": 0.5599999999999999, | |
| "criterion": "balanced accuracy; closest to 0.5 on ties", | |
| "rows": 2581, | |
| "benchmark_used": false | |
| } | |