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Browse files- pipeline.py +0 -11
pipeline.py
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'''
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# upload model
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import torch
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from transformers import GPT2LMHeadModel,GPT2Tokenizer, GPT2Config
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tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
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model = torch.load('text_summary_4sets_2_550.pth', map_location=torch.device('mps'))
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model.push_to_hub(repo_name="text-summary-gpt2-short", repo_id="Lin0He/text-summary-gpt2-short")
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tokenizer.push_to_hub(repo_name="text-summary-gpt2-short", repo_id="Lin0He/text-summary-gpt2-short")
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'''
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import torch
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import numpy as np
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from typing import Dict, List, Any
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import torch
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import numpy as np
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from typing import Dict, List, Any
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