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Upload app.py
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app.py
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@@ -1,5 +1,6 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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"""
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Copied from inference in colab notebook
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@@ -16,7 +17,7 @@ model_path = "Mat17892/t5small_enfr_opus"
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tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=True, legacy=False)
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# Load the base model (e.g., LLaMA)
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base_model = AutoModelForSeq2SeqLM.from_pretrained(base_model)
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# Load LoRA adapter
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from peft import PeftModel
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import gradio as gr
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from huggingface_hub import InferenceClient
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import os
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"""
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Copied from inference in colab notebook
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tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=True, legacy=False)
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# Load the base model (e.g., LLaMA)
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base_model = AutoModelForSeq2SeqLM.from_pretrained(base_model,token = os.getenv('huggingface_token'))
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# Load LoRA adapter
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from peft import PeftModel
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