Text Classification
Transformers
PyTorch
TensorFlow
English
bert
sentiment-analysis
text-embeddings-inference
Instructions to use AndyChiang/my-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/my-test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AndyChiang/my-test-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AndyChiang/my-test-model") model = AutoModelForSequenceClassification.from_pretrained("AndyChiang/my-test-model") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): e6392a9
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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license: mit
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language: en
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tags:
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- bert
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- sentiment-analysis
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datasets:
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- yelp_review_full
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widget:
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- text: "The food is delicious."
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- text: "The food is awful."
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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