Instructions to use westernmonster/deberta_amazon_reviews_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use westernmonster/deberta_amazon_reviews_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="westernmonster/deberta_amazon_reviews_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("westernmonster/deberta_amazon_reviews_v1") model = AutoModelForSequenceClassification.from_pretrained("westernmonster/deberta_amazon_reviews_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 151eee4d661365ac3a60c58ef791668864113b5f6793f321e312249f68da36c2
- Size of remote file:
- 738 MB
- SHA256:
- b7a5d0df822f15bab4b8e53842214a23328f307a6b1aa78e988d76897fa2ff50
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