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
- Xet hash:
- 1023d8ab857ed9a30ba55eb16631e5d58ae5dbcbd5d393f8cc4cb5ee3220df03
- Size of remote file:
- 4.92 kB
- SHA256:
- dc09d4ceb9ab31f4bff332d61e5889c331d133df291cab775f755dfa827a63fc
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