Text Classification
Transformers
PyTorch
TensorFlow
English
distilbert
exbert
text-embeddings-inference
Instructions to use CK42/sentiment_analysis_sbcBI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CK42/sentiment_analysis_sbcBI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CK42/sentiment_analysis_sbcBI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CK42/sentiment_analysis_sbcBI") model = AutoModelForSequenceClassification.from_pretrained("CK42/sentiment_analysis_sbcBI") - Notebooks
- Google Colab
- Kaggle
Upload tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
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