Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use eren23/amazon_review_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eren23/amazon_review_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eren23/amazon_review_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eren23/amazon_review_classification") model = AutoModelForSequenceClassification.from_pretrained("eren23/amazon_review_classification") - Notebooks
- Google Colab
- Kaggle
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README.md
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model-index:
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- name: amazon_review_classification
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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model-index:
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- name: amazon_review_classification
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results: []
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- text: "Title: These earrings are much smaller than pictured. They are so tiny \n Text: The online picture is deceiving. They are shown much larger than their actual size. Was very disappointed"
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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