# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("epinnock/protylopus")
model = AutoModelForCausalLM.from_pretrained("epinnock/protylopus")Quick Links
This a ~90m assistant model for cameloid models like LLama/Alpaca/Vicuna/Guanaco that use the llama tokenizer, allowing for speedups up to 3x with greed sampling. Its trained on 5.5 billion tokens of refinedweb and uses the GPTBigcode architecture and has a context window: 1024. To use please see this article on assisted generation https://huggingface.co/blog/assisted-generation.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="epinnock/protylopus")