Instructions to use Ramuvannela/Stanford-Sentiment-Treebank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ramuvannela/Stanford-Sentiment-Treebank with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ramuvannela/Stanford-Sentiment-Treebank")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ramuvannela/Stanford-Sentiment-Treebank") model = AutoModelForSequenceClassification.from_pretrained("Ramuvannela/Stanford-Sentiment-Treebank") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
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librarian-bot