29 lines
507 B
Plaintext
29 lines
507 B
Plaintext
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Step1:
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!pip install -U transformers
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step2:
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("varuneshv/VCoder")
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model = AutoModelForCausalLM.from_pretrained(
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"varuneshv/VCoder"
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)
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step3:
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model = model.to("cuda")
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inputs = tokenizer(
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"write a python code to merge 3 arrays",
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return_tensors="pt"
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).to("cuda")
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outputs = model.generate(
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**inputs,
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max_new_tokens=100
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)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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