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README.md
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---
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tags:
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- autotrain
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- text-generation-inference
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- text-generation
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- peft
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library_name: transformers
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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widget:
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license: other
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datasets:
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- emre/lima_dirty_tr
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#
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# Usage
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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---
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tags:
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- text-generation-inference
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- text-generation
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- peft
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library_name: transformers
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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widget:
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- messages:
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- role: user
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content: What is your favorite condiment?
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license: other
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datasets:
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- emre/lima_dirty_tr
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---
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# Vocabulary adjustment needed
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deepseek-ai/DeepSeek-R1-Distill-Qwen-14B model is fine tuned with Lora therefore vocab size does not match, adjust it accordingly before using.
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# Usage
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "emre/DeepSeek-R1-Qwen-14B-tr-ORPO"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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