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use gpt-neox model #20

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use gpt-neox model #20

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15 changes: 12 additions & 3 deletions download.py
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Original file line number Diff line number Diff line change
@@ -1,13 +1,22 @@
# In this file, we define download_model
# It runs during container build time to get model weights built into the container

# In this example: A Huggingface BERT model
# In this example: A Huggingface GPT-NeoX model

from transformers import pipeline
from transformers import GPTNeoXForCausalLM, GPTNeoXTokenizerFast
import torch

def download_model():
# do a dry run of loading the huggingface model, which will download weights
pipeline('fill-mask', model='bert-base-uncased')
print("downloading model...")
GPTNeoXForCausalLM.from_pretrained(
"EleutherAI/gpt-neox-20b", revision="float16", torch_dtype=torch.float16, low_cpu_mem_usage=True
)
print("done")

print("downloading tokenizer...")
GPTNeoXTokenizerFast.from_pretrained("EleutherAI/gpt-neox-20b")
print("done")

if __name__ == "__main__":
download_model()