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