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Update app.py
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app.py
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@@ -6,12 +6,6 @@ import os
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# Load the original pre-trained model
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def load_model(model_name):
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hf_token = os.getenv('HUGGINGFACE_TOKEN')
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if not hf_token:
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return "Error: Hugging Face token not found. Please set it as a secret."
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# Login to Hugging Face Hub
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login(hf_token)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSequenceClassification.from_pretrained(model_name)
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return tokenizer, model
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@@ -21,6 +15,12 @@ original_model_name = "Vishwas1/hummingbird-base-marathi" # Replace with your o
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fine_tuned_model_name = "Vishwas1/hummingbird-finetuned-marathi" # Replace with your fine-tuned model's repo ID
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# Load models
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original_tokenizer = AutoTokenizer.from_pretrained(original_model_name)
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original_model = AutoModelForSequenceClassification.from_pretrained(original_model_name)
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fine_tuned_tokenizer = AutoTokenizer.from_pretrained(fine_tuned_model_name)
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# Load the original pre-trained model
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def load_model(model_name):
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSequenceClassification.from_pretrained(model_name)
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return tokenizer, model
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fine_tuned_model_name = "Vishwas1/hummingbird-finetuned-marathi" # Replace with your fine-tuned model's repo ID
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# Load models
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hf_token = os.getenv('HUGGINGFACE_TOKEN')
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if not hf_token:
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return "Error: Hugging Face token not found. Please set it as a secret."
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# Login to Hugging Face Hub
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login(hf_token)
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original_tokenizer = AutoTokenizer.from_pretrained(original_model_name)
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original_model = AutoModelForSequenceClassification.from_pretrained(original_model_name)
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fine_tuned_tokenizer = AutoTokenizer.from_pretrained(fine_tuned_model_name)
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