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-benchmark.npz from ProCreations/auto-0.4b-2: direct link, hf CLI and curl.
- Browser
- Download file 48.5 kB
-
https://huggingface.co/ProCreations/auto-0.4b-2/resolve/main/eval/iteration-1/kd_b_aug-step-870-benchmark.npz
- Command line
-
hf download hf://ProCreations/auto-0.4b-2/eval/iteration-1/kd_b_aug-step-870-benchmark.npz
-
curl -L -o kd_b_aug-step-870-benchmark.npz https://huggingface.co/ProCreations/auto-0.4b-2/resolve/main/eval/iteration-1/kd_b_aug-step-870-benchmark.npz
48.5 kB
- Xet hash:
- d44d335e0a4ae5261aee029dd261c565e9cab871ebcf346d9943569667122e96
- Size of remote file:
- 48.5 kB
- SHA256:
- c2c8ad9fb357f71777ff8b8519ed67801cbfa8fc9a1dce77234755a15491ce90
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