Instructions to use TeamResearch/sentiment-model-saagie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeamResearch/sentiment-model-saagie with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TeamResearch/sentiment-model-saagie")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TeamResearch/sentiment-model-saagie") model = AutoModelForSequenceClassification.from_pretrained("TeamResearch/sentiment-model-saagie") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 161a6fd
End of training
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- training_args.bin +1 -1
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