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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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# 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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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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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>
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