update example
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README.md
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@@ -35,14 +35,17 @@ We introduce <strong>Kangaroo</strong>, a powerful Multimodal Large Language Mod
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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-
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model = AutoModelForCausalLM.from_pretrained(
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"
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torch_dtype=torch.bfloat16,
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trust_remote_code=True,
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)
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model = model.to("cuda")
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terminators = [tokenizer.eos_token_id, tokenizer.convert_tokens_to_ids("<|eot_id|>")]
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video_path = "/path/to/video"
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# Round 1
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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# replace /path/to/kangaroo to your own path to the model
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tokenizer = AutoTokenizer.from_pretrained("/path/to/kangaroo")
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model = AutoModelForCausalLM.from_pretrained(
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"/path/to/kangaroo",
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torch_dtype=torch.bfloat16,
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trust_remote_code=True,
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)
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model = model.to("cuda")
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terminators = [tokenizer.eos_token_id, tokenizer.convert_tokens_to_ids("<|eot_id|>")]
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# replace /path/to/kangaroo to your own path to the video
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video_path = "/path/to/video"
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# Round 1
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