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="fitleech/sn38-2023-01")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("fitleech/sn38-2023-01", device_map="auto")
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sn38-2023-01

2023-cutoff language model. Weights are safetensors. trust_remote_code=false. Architecture sn38-nanochrono.

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Model size
2B params
Tensor type
BF16
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