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-audit.npz from ProCreations/auto-0.4b-2: direct link, hf CLI and curl.
- Browser
- Download file 42 kB
-
https://huggingface.co/ProCreations/auto-0.4b-2/resolve/main/eval/iteration-1/kd_b_aug-step-870-audit.npz
- Command line
-
hf download hf://ProCreations/auto-0.4b-2/eval/iteration-1/kd_b_aug-step-870-audit.npz
-
curl -L -o kd_b_aug-step-870-audit.npz https://huggingface.co/ProCreations/auto-0.4b-2/resolve/main/eval/iteration-1/kd_b_aug-step-870-audit.npz
42 kB
- Xet hash:
- 0ccc826478cb1d9ba7184c50fd31a272103d9853ad4594568ce228f1571b0a6e
- Size of remote file:
- 42 kB
- SHA256:
- 06cfb1ba9e60d13366f66a160ba3b68afb8f2eeabf8160874cb0214587cb7d11
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