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  # T-pro-it-1.0
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  ## Description
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  ## 📊 Benchmarks
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  Detailed model card’s coming soon…
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- Here we present the results of T-pro-it-1.0 on automatic benchmarks.
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  ## 👨‍💻 Examples of usage
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  import torch
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  torch.manual_seed(42)
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- model_name = "t-tech/T-lite-pro-1.0"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(
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  model_name,
 
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  # T-pro-it-1.0
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+ **🚨 T-pro is designed for further fine-tuning and is not intended as a ready-to-use conversational assistant. Users are advised to exercise caution and are responsible for any additional training and oversight required to ensure the model's responses meet acceptable ethical and safety standards. The responsibility for incorporating this model into industrial or commercial solutions lies entirely with those who choose to deploy it.**
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  ## Description
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  ## 📊 Benchmarks
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  Detailed model card’s coming soon…
 
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  ## 👨‍💻 Examples of usage
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  import torch
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  torch.manual_seed(42)
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+ model_name = "t-tech/T-pro-1.0"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(
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  model_name,