gemma_prvlaw_1e

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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How to Get Started with the Model

Use the code below to get started with the model.

model_id = "mani-a-i/gemma_prvlaw_1e"
model =  AutoModelForCausalLM.from_pretrained(model_id,device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b-it")
streamer = TextStreamer(tokenizer)

def gen(prompt):    
    prompt = gemma_template(prompt) 
    toks = tokenizer(prompt,return_tensors = 'pt').to(device)
    output = model.generate(
        **toks,
        top_k = 1,
        do_sample = True,
        temperature = 0.2,
        max_new_tokens = 300,
        streamer = streamer
        
    )
    return output 

out = gen("Hi")

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Training Details

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Testing Data, Factors & Metrics

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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