
from transformers import AutoTokenizer, AutoModelForCausalLM

checkpoint = "jiaxie/Hyena-SARS-CoV2"

tokenizer = AutoTokenizer.from_pretrained(checkpoint, trust_remote_code=True)
print("Tokenizer Processed")

model_config = AutoModelForCausalLM.from_pretrained(checkpoint, torch_dtype=torch.bfloat16, device_map="auto", trust_remote_code=True)
print("Model Processed")

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14.2M params

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BF16

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