How to use SmallDoge/Doge-60M-Instruct with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="SmallDoge/Doge-60M-Instruct", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SmallDoge/Doge-60M-Instruct", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("SmallDoge/Doge-60M-Instruct", trust_remote_code=True, device_map="auto")
https://huggingface.co/SmallDoge/Doge-60M-Instruct/resolve/84bcd69ddea0c2a17fa0538e9c59ea2575e70f6d/tokenizer.json
hf download hf://SmallDoge/Doge-60M-Instruct@84bcd69ddea0c2a17fa0538e9c59ea2575e70f6d/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/SmallDoge/Doge-60M-Instruct/resolve/84bcd69ddea0c2a17fa0538e9c59ea2575e70f6d/tokenizer.json
