Text Classification
Transformers
Safetensors
modernbert
agent-safety
tool-calling
long-context
distillation
Eval Results (legacy)
text-embeddings-inference
Instructions to use ProCreations/auto-200m-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-200m-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-200m-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-200m-2") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-200m-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,149 Bytes
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"base": {
"repo": "answerdotai/ModernBERT-base",
"revision": "8949b909ec900327062f0ebf497f51aef5e6f0c8",
"weights_sha256": "340ac08b74eef0d7bdec2d7981a6a3d4249bf0e6aab60634b72ad02c2b8023a9"
},
"reference": {
"repo": "ProCreations/auto-0.4b-2",
"revision": "5937dd0162a9dd564a07c812b65012681daae3fd",
"weights_sha256": "08791b8c4064779a00e89615e6b13f55abb3cd5536acc5de0f418d00bd127b0c"
},
"data": {
"repo": "ProCreations/auto-1b-data",
"revision": "d265bbf7bac76cd55daaf81a1d185dfe089a412b",
"files": {
"train.parquet": "46f9ce380dcb3baf6abc234ed61974c4019460c3d49713a2a85fd55a6faed6d6",
"validation.parquet": "b81f3cb92538b96b722ea4cd8efdcdb299dc59209601a7b7e3cb45a08e2a7f4f"
}
},
"benchmark": {
"repo": "ProCreations/approve-or-deny",
"revision": "a38b625913dd46ca9702063f1597c979e6ace34e",
"files": {
"test.parquet": "13607db717323399fb394885fdbf80663e5262b219683361c79e148853bc2ec1"
}
},
"teacher": {
"name": "Private Auto 3B classifier (unpublished)",
"weights_sha256": "314b5711a812b67b8e01568e3605ca5eda94464ef8a5d72f5061c066b7b598e8"
}
}
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