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
Add decision-model tag
#31
by victor HF Staff - opened
Hi there,
This PR adds the decision-model tag to the model card metadata, so laya shows up next to the other decision models on the Hub: https://huggingface.co/models?other=decision-model
The GGUF conversion ggml-org/Laya-GGUF already has this tag: the Hub adds it automatically from its llama.cpp metadata. This PR adds it to the original checkpoint too.
It's a one-line metadata change, nothing else in the card is touched.