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morenolq
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spotify-podcast-advertising-classification

Text Classification
Transformers
PyTorch
Safetensors
English
bert
classification
Inference Endpoints
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@@ -20,7 +20,7 @@ The model is used in the paper 'Leveraging multimodal content for podcast summar
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  model = AutoModelForSequenceClassification.from_pretrained('morenolq/spotify-podcast-advertising-classification')
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- tokenizer = AutoTokenizer.from_pretrained('bert-base-cased')
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  desc_sentences = ["Sentence 1", "Sentence 2", "Sentence 3"]
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  for i, s in enumerate(desc_sentences):
 
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  model = AutoModelForSequenceClassification.from_pretrained('morenolq/spotify-podcast-advertising-classification')
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+ tokenizer = AutoTokenizer.from_pretrained('morenolq/spotify-podcast-advertising-classification')
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  desc_sentences = ["Sentence 1", "Sentence 2", "Sentence 3"]
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  for i, s in enumerate(desc_sentences):