Duplicated from convaiinnovations/laya
How to use SwagMessiah100/laya with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SwagMessiah100/laya")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SwagMessiah100/laya", device_map="auto")
How to use SwagMessiah100/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
https://huggingface.co/SwagMessiah100/laya/resolve/main/assets/logo-mark.svg
hf download hf://SwagMessiah100/laya/assets/logo-mark.svg
curl -L -o logo-mark.svg https://huggingface.co/SwagMessiah100/laya/resolve/main/assets/logo-mark.svg
