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import gradio as gr |
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import torch |
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from peft import PeftModel, PeftConfig |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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peft_model_id = "hackathon-somos-nlp-2023/bertin-gpt-j-6b-ner-es" |
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config = PeftConfig.from_pretrained(peft_model_id) |
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model = AutoModelForCausalLM.from_pretrained( |
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config.base_model_name_or_path, |
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return_dict=True, |
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load_in_8bit=True, |
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device_map="auto", |
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) |
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tokenizer = AutoTokenizer.from_pretrained(peft_model_id) |
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model = PeftModel.from_pretrained(model, peft_model_id) |
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def greet(name): |
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return "Hello " + name + "!!" |
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iface = gr.Interface(fn=greet, inputs="text", outputs="text") |
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iface.launch() |
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