How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="appvoid/cortex", trust_remote_code=True)
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("appvoid/cortex", trust_remote_code=True, device_map="auto")
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Cortex

Byte-level language model trained on lots of data with lots of loops.

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Model size
9.35M params
Tensor type
F32
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