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")# pip install -U transformers accelerate # 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 model.safetensors from ProCreations/auto-0.4b-2: direct link, hf CLI and curl.
- Browser
- Download file 792 MB
-
https://huggingface.co/ProCreations/auto-0.4b-2/resolve/dc3afeb3d37b78aef751a894db69183ab36d7c07/model.safetensors
- Command line
-
hf download hf://ProCreations/auto-0.4b-2@dc3afeb3d37b78aef751a894db69183ab36d7c07/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ProCreations/auto-0.4b-2/resolve/dc3afeb3d37b78aef751a894db69183ab36d7c07/model.safetensors
792 MB
- Xet hash:
- ca51626728d75227d09ca7e8f8aaa6224f902913e8311f3a2c510109d0833e70
- Size of remote file:
- 792 MB
- SHA256:
- 10a27866e72a8fd7af878eb3d41e68f2de8e0f025cc20e55ef531554d1abc626
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