Instructions to use saishshinde15/SentimentTensor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use saishshinde15/SentimentTensor with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://saishshinde15/SentimentTensor") - Notebooks
- Google Colab
- Kaggle
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README.md
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- accuracy
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library_name: adapter-transformers
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---
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# Model Card for SentimentTensor
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- accuracy
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- code_eval
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library_name: adapter-transformers
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pipeline_tag: text-classification
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---
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# Model Card for SentimentTensor
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