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Update prd.py
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prd.py
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from transformers import TFAutoModel, AutoTokenizer
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# Load the model from the Hugging Face Model Hub
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model = TFAutoModel.from_pretrained('okeowo1014/catsandogs')
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# Now you can use the loaded model for inference or fine-tuning
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# Example prediction
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new_texts = ["I'm feeling great!", "This book is boring."]
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tokenizer=tokenizer = AutoTokenizer.from_pretrained('okeowo1014/
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sequences = tokenizer.texts_to_sequences(new_texts)
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padded_sequences = pad_sequences(sequences, maxlen=10, padding='post', truncating='post')
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predictions = model.predict(padded_sequences)
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from transformers import TFAutoModel, AutoTokenizer
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from huggingface_hub import from_pretrained_keras
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model = from_pretrained_keras("okeowo1014/kerascatanddog")
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# Load the model from the Hugging Face Model Hub
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# model = TFAutoModel.from_pretrained('okeowo1014/catsandogs')
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# Now you can use the loaded model for inference or fine-tuning
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# Example prediction
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new_texts = ["I'm feeling great!", "This book is boring."]
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tokenizer=tokenizer = AutoTokenizer.from_pretrained('okeowo1014/kerascatanddog')
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sequences = tokenizer.texts_to_sequences(new_texts)
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padded_sequences = pad_sequences(sequences, maxlen=10, padding='post', truncating='post')
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predictions = model.predict(padded_sequences)
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