Text Classification
Transformers
Safetensors
Laya
system-one
calibrated-decisions
rlcd
classification
routing
scoring
guardrails
moderation
reinforcement-learning
commercial-use
Instructions to use convaiinnovations/laya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use convaiinnovations/laya with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="convaiinnovations/laya")# pip install -U transformers accelerate # Load model directly from transformers import LayaTypedDecisions model = LayaTypedDecisions.from_pretrained("convaiinnovations/laya", device_map="auto") - Laya
How to use convaiinnovations/laya 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
- Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
23 days ago
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chore: root config.json so the Hub tracks downloads
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README: recommend max_len=8192, laya 0.3.20 notes
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README: measured long-document table, laya 0.3.19 notes
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README: 8,192-token long documents on laya-multilingual, laya 0.3.18 notes
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README: multilingual quickstart and fine-tuning, laya 0.3.17 notes
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README: installation, quickstart and docs first, laya 0.3.16 notes
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README: installation and docs first, laya 0.3.15 notes
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README: laya 0.3.14 release notes and docs site
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README: laya 0.3.13 release notes
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README: laya 0.3.12 release notes
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README: laya 0.3.11 release notes
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Model card: laya 0.3.7 (faster loading, routing, laya-serve, current limits)
Verified signatureWhat's new in 0.3.7, corrected Router memory defaults (max_loaded=2), lang_guess, the Jev-compatible laya-serve, and Limits notes for the noul label bias (#156) and act_probability (#185).5e7b2b1
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docs: promote Route Mode as primary Quickstart, add where Jev leads and token budget limits
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Add the Laya logo and use the lockup in the model card
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docs: comprehensive vs-Jev figure, preload guidance
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assets: comprehensive Laya vs Jev benchmark figure
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assets: re-render without the header overlap
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docs: reference the benchmark figure from inside the repo
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assets: host benchmark figures in the repo
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assets: host benchmark figures in the repo
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assets: host benchmark figures in the repo
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docs: Laya (routed) vs Jev as the headline comparison
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feat: bundle the typed-decisions checkpoint so laya/ holds the whole family
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feat: bundle the multilingual checkpoint so laya/ holds the whole family
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chore: point encoder at the upstream model id instead of a local build path
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docs: measured typed-decisions results (0.766 reproduced), option-count limit
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docs: hub card for the three checkpoints, measured benchmarks, honest limits
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Resize benchmark plot within 4096 limit
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Embed benchmark comparison plot in model card
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Add benchmark comparison plot PNG
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Add Laya vs TypeSafe Jev benchmark comparison
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Clean up math rendering in README
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Initial release of Laya fine-tuned System 1 decision model
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initial commit
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