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--- |
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tags: |
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- Generative AI |
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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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license: apache-2.0 |
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language: |
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- tr |
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- en |
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- es |
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--- |
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# Model Trained By Meforgers |
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*This model was trained by Meforgers for the futuristic projects.* |
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- # *Firstly* |
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- Need to install packages |
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- # *Usage* |
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```python |
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from unsloth import FastLanguageModel |
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import torch |
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# Variable side |
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max_seq_length = 512 |
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dtype = torch.float16 |
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load_in_4bit = True |
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# Alpaca prompt |
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alpaca_prompt = """### Instruction: |
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{0} |
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### Input: |
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{1} |
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### Response: |
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{2} |
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""" |
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model, tokenizer = FastLanguageModel.from_pretrained( |
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model_name="Meforgers/Aixr", |
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max_seq_length=max_seq_length, |
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dtype=dtype, |
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load_in_4bit=load_in_4bit, |
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) |
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FastLanguageModel.for_inference(model) |
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inputs = tokenizer( |
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[ |
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alpaca_prompt.format( |
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"Can u text me basic python code?", # instruction side (You need to change that side) |
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"", # input |
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"", # output - leave this blank for generation! |
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) |
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], |
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return_tensors="pt" |
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).to("cuda") |
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outputs = model.generate(**inputs, max_new_tokens=128, use_cache=True) |
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print(tokenizer.batch_decode(outputs)) |
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``` |