Instructions to use nam194/sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nam194/sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nam194/sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nam194/sentiment") model = AutoModelForSequenceClassification.from_pretrained("nam194/sentiment") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Sentiment Analysis + Topic classification
- Data: public review of anonymous user about companies
- Model: PhoBert
- Pipeline: Text classification + NER
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