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
| license: mit | |
| language: | |
| - en | |
| tags: | |
| - sentiment-analysis | |
| - bert | |
| - transformers | |
| metrics: | |
| - bertscore | |
| pipeline_tag: text-classification | |
| library_name: transformers | |
| model-index: | |
| - name: spotify-pnl | |
| results: [] | |
| # Modelo BERT para Análise de Sentimento de Reviews do Spotify | |
| Este modelo foi treinado usando `AutoModelForSequenceClassification` do Hugging Face Transformers e está salvo no formato `safetensors`. | |