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:
- 7a5a5340e98cd07305ab5a876c0bc2a30af90136a7af62c6cf81ae4e374843d9
- Size of remote file:
- 3.9 kB
- SHA256:
- 5cd1a798dd3501539d399d1c70f67f10329cf63d509daca2311139406d0457c7
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