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-1737-calibration.npz from ProCreations/auto-0.4b-2: direct link, hf CLI and curl.
- Browser
- Download file 41.8 kB
-
https://huggingface.co/ProCreations/auto-0.4b-2/resolve/main/eval/iteration-1/kd_b_aug-step-1737-calibration.npz
- Command line
-
hf download hf://ProCreations/auto-0.4b-2/eval/iteration-1/kd_b_aug-step-1737-calibration.npz
-
curl -L -o kd_b_aug-step-1737-calibration.npz https://huggingface.co/ProCreations/auto-0.4b-2/resolve/main/eval/iteration-1/kd_b_aug-step-1737-calibration.npz
41.8 kB
- Xet hash:
- 05389b7dc08bf863fe2ab25711ab99728d9cd17f1ba3c6e1bdeb7089c1ce99d8
- Size of remote file:
- 41.8 kB
- SHA256:
- a687937ef9351045959696a3ac0bc0d632aaeb943dc1f090adfa1fe58ce758fb
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