# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("pathikg/DogLLaMA_7b")
model = AutoModelForCausalLM.from_pretrained("pathikg/DogLLaMA_7b")Quick Links
DogLLaMA-7b
DogLLaMA is a language model specifically designed to translate user queries into the language of dogs. Built on the LLaMA-7b architecture and DogLLaMA-small dataset generated using gpt3.5, this model provides responses in a playful and enthusiastic manner, mimicking the communication style of our furry friends. Whether you're curious about a dog's perspective on jokes, treats, or the weather, DogLLaMA is here to bark out the answers!
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="pathikg/DogLLaMA_7b")