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Update README.md

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@@ -4,8 +4,39 @@ It was created by starting with the deepseek-coder-1.3b and training it on the o
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  # Reson
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  This model was fine tned to allow it to follow direction and is a steeping stone to further training, but still would be good for asking qestions about code.
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- # Templete
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- Us the following templete when interacting with the fine tuned model.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Referrals
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  Run Pod - This is who I use to train th emodels on huggingface. If you use it we both get free crdits. - <a href="https://runpod.io?ref=kilq83n1" target="_blank" style="color: #3498db; text-decoration: none; font-weight: bold;">Visit Runpod's Website!</a>
 
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  # Reson
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  This model was fine tned to allow it to follow direction and is a steeping stone to further training, but still would be good for asking qestions about code.
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+ # How to use
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+ You will need the transformers>=4.31
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+ ```python
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+ model = "AIGym/deepseek-coder-1.3b-chat"
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+
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+ prompt = "What are the values in open source projects?"
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+ formatted_prompt = (
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+ f"### Human: {prompt}### Assistant:"
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+ )
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+
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+
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+ sequences = pipeline(
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+ formatted_prompt,
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+ do_sample=True,
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+ top_k=50,
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+ top_p = 0.7,
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+ num_return_sequences=1,
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+ repetition_penalty=1.1,
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+ max_new_tokens=500,
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+ )
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+ for seq in sequences:
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+ print(f"Result: {seq['generated_text']}")
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+ ```
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  # Referrals
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  Run Pod - This is who I use to train th emodels on huggingface. If you use it we both get free crdits. - <a href="https://runpod.io?ref=kilq83n1" target="_blank" style="color: #3498db; text-decoration: none; font-weight: bold;">Visit Runpod's Website!</a>