Text Classification
Transformers
ONNX
Safetensors
GLiClass
rlcd
typesafe-ai
jev
decision-engine
system-1
modernbert
gliclass
non-autoregressive
zero-token-generation
structured-outputs
calibration
expected-calibration-error
ece
brier-score
proper-scoring-rules
webgpu
edge-ai
fast-inference
banking77
Instructions to use heman10x/rlcd-modernbert-151m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heman10x/rlcd-modernbert-151m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heman10x/rlcd-modernbert-151m")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("heman10x/rlcd-modernbert-151m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload bundle_manifest.json with huggingface_hub
Browse files- bundle_manifest.json +5 -5
bundle_manifest.json
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{
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"bundle_version": "1.0.0",
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"model_architecture": "knowledgator/gliclass-modern-base-v2.0",
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"checkpoint_path": "artifacts/v2/
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"safetensors_sha256": "
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"onnx_path": "artifacts/v2/
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"onnx_sha256": "
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"opset_version": 17,
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"max_capacity_logits": 25,
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"export_date": "2026-09-
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}
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{
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"bundle_version": "1.0.0",
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"model_architecture": "knowledgator/gliclass-modern-base-v2.0",
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"checkpoint_path": "artifacts/v2/model.safetensors",
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"safetensors_sha256": "d252823994d47a7933217fc86449493299643af6a0c0d83d6bd5a7666d3253ef",
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"onnx_path": "artifacts/v2/model.onnx",
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"onnx_sha256": "4ae01f822538b000fa0e55859d4b3e6b40871d860149397e8784428b2a42ee5e",
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"opset_version": 17,
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"max_capacity_logits": 25,
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"export_date": "2026-09-17T16:59:04Z"
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}
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