How to use slow-stack/laya-typed-decisions-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="slow-stack/laya-typed-decisions-multilingual")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("slow-stack/laya-typed-decisions-multilingual", device_map="auto")
How to use slow-stack/laya-typed-decisions-multilingual 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/slow-stack/laya-typed-decisions-multilingual/resolve/main/tokenizer/tokenizer.json
hf download hf://slow-stack/laya-typed-decisions-multilingual/tokenizer/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/slow-stack/laya-typed-decisions-multilingual/resolve/main/tokenizer/tokenizer.json
