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README.md
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Para un uso sencillo del modelo utilize el siguiente codigo:
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```py
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from transformers import DistilBertForSequenceClassification, DistilBertTokenizer
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import numpy as np
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tokenizer = AutoTokenizer.from_pretrained("manoh2f2/recommend_songs")
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model = AutoModelForSequenceClassification.from_pretrained("manoh2f2/recommend_songs")
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Para un uso sencillo del modelo utilize el siguiente codigo:
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```py
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#! pip install transformers
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#! pip install torch
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#! pip install datasets
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```
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```py
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from transformers import DistilBertForSequenceClassification, DistilBertTokenizer
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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from datasets import load_dataset
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import numpy as np
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import torch
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dataset = load_dataset("manoh2f2/songs_resampled")
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# Cargar el dataset en un DataFrame
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split_name = 'train'
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df_resampled = dataset[split_name].to_pandas()
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tokenizer = AutoTokenizer.from_pretrained("manoh2f2/recommend_songs")
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model = AutoModelForSequenceClassification.from_pretrained("manoh2f2/recommend_songs")
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