Instructions to use xavierruth/spotify-pnl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xavierruth/spotify-pnl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xavierruth/spotify-pnl")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xavierruth/spotify-pnl") model = AutoModelForSequenceClassification.from_pretrained("xavierruth/spotify-pnl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: mit
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language:
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- en
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tags:
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- sentiment-analysis
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- bert
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- transformers
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metrics:
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- bertscore
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pipeline_tag: text-classification
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library_name: transformers
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model-index:
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- name: spotify-pnl
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# Modelo BERT para Análise de Sentimento de Reviews do Spotify
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Este modelo foi treinado usando `AutoModelForSequenceClassification` do Hugging Face Transformers e está salvo no formato `safetensors`.
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---
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license: mit
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language:
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- en
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tags:
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- sentiment-analysis
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- bert
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- transformers
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metrics:
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- bertscore
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pipeline_tag: text-classification
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library_name: transformers
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model-index:
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- name: spotify-pnl
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results: []
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# Modelo BERT para Análise de Sentimento de Reviews do Spotify
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Este modelo foi treinado usando `AutoModelForSequenceClassification` do Hugging Face Transformers e está salvo no formato `safetensors`.
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