Instructions to use sbcBI/sentiment_analysis_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sbcBI/sentiment_analysis_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sbcBI/sentiment_analysis_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sbcBI/sentiment_analysis_model") model = AutoModelForSequenceClassification.from_pretrained("sbcBI/sentiment_analysis_model") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload training_args.bin with git-lfs
Browse files- training_args.bin +2 -2
training_args.bin
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