Text Classification
Transformers
GGUF
Laya
unknown
system-one
calibrated-decisions
rlcd
classification
routing
scoring
guardrails
moderation
reinforcement-learning
commercial-use
falconsai
model-surgeon
attested-lineage
Instructions to use Falconsai/laya-v796 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/laya-v796 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Falconsai/laya-v796")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Falconsai/laya-v796", device_map="auto") - Laya
How to use Falconsai/laya-v796 with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Upload surgery_log.json with huggingface_hub
Browse files- surgery_log.json +15 -0
surgery_log.json
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{
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"copyright": "\u00a9 2026 FALCONS.AI",
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"log": [
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{
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"op": "load",
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"detail": "hub:Falconsai/laya-v795/model_edited.safetensors (842.6 MB, safetensors)",
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"t": 1790215665.9418728,
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"vitals": {
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"params": 421293938,
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"tensors": 207,
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"bytes": 842588098
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}
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