How to use WenchuanZhang/Agentic-Router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="WenchuanZhang/Agentic-Router")
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("WenchuanZhang/Agentic-Router") model = AutoModelForCausalLM.from_pretrained("WenchuanZhang/Agentic-Router", device_map="auto")
https://huggingface.co/WenchuanZhang/Agentic-Router/resolve/main/vocab.json
hf download hf://WenchuanZhang/Agentic-Router/vocab.json
curl -L -o vocab.json https://huggingface.co/WenchuanZhang/Agentic-Router/resolve/main/vocab.json
