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README.md
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@@ -61,6 +61,9 @@ See also [notebooks](./notebooks).
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```python
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import requests
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from transformers import AutoProcessor
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from git_llm.git_llama import GitLlamaForCausalLM
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# do preprocessing
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inputs = processor(
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text,
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image,
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return_tensors="pt",
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truncation=True,
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)
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inputs = {k: v.to(f"cuda:{device_id}") for k, v in inputs.items()}
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# set eos token
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eos_token_id_list = [
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processor.tokenizer.pad_token_id,
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processor.tokenizer.eos_token_id,
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]
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# do inference
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with torch.no_grad():
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out = model.generate(**inputs, max_length=256, do_sample=False, temperature=0., eos_token_id=eos_token_id_list)
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# print result
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print(processor.tokenizer.batch_decode(out))
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```python
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import requests
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from PIL import Image
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import torch
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from transformers import AutoProcessor
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from git_llm.git_llama import GitLlamaForCausalLM
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# do preprocessing
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inputs = processor(
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text,
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image,
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return_tensors="pt",
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truncation=True,
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)
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inputs = {k: v.to(f"cuda:{device_id}") for k, v in inputs.items()}
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# set eos token
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eos_token_id_list = [
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processor.tokenizer.pad_token_id,
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processor.tokenizer.eos_token_id,
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]
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# do inference
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with torch.no_grad():
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out = model.generate(**inputs, max_length=256, do_sample=False, temperature=0., eos_token_id=eos_token_id_list)
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# print result
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print(processor.tokenizer.batch_decode(out))
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