How to use iamvaar/LAYARED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iamvaar/LAYARED")
# pip install -U transformers accelerate # Load model directly from transformers import LayaTypedDecisions model = LayaTypedDecisions.from_pretrained("iamvaar/LAYARED", device_map="auto")
How to use iamvaar/LAYARED 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
How to use iamvaar/LAYARED with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download iamvaar/LAYARED --local-dir LAYARED
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