How to use Priceman614/x402-demand with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Priceman614/x402-demand")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Priceman614/x402-demand", device_map="auto")
How to use Priceman614/x402-demand 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/Priceman614/x402-demand/resolve/main/tokenizer/tokenizer.json
hf download hf://Priceman614/x402-demand/tokenizer/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Priceman614/x402-demand/resolve/main/tokenizer/tokenizer.json
