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
File size: 681 Bytes
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"student": {
"repo": "ProCreations/auto-0.4b-2",
"revision": "456e153dad2b12db14babb1dbdc8f8ece607e80a",
"weight_sha256": "10a27866e72a8fd7af878eb3d41e68f2de8e0f025cc20e55ef531554d1abc626"
},
"teacher": {
"name": "Auto 3B private selected candidate",
"weight_sha256": "314b5711a812b67b8e01568e3605ca5eda94464ef8a5d72f5061c066b7b598e8",
"published": false
},
"data": {
"repo": "ProCreations/auto-1b-data",
"kind": "dataset",
"revision": "d265bbf7bac76cd55daaf81a1d185dfe089a412b"
},
"benchmark": {
"repo": "ProCreations/approve-or-deny",
"kind": "dataset",
"revision": "a38b625913dd46ca9702063f1597c979e6ace34e"
}
}
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