Instructions to use shuli/deberta_amazon_reviews_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shuli/deberta_amazon_reviews_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shuli/deberta_amazon_reviews_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shuli/deberta_amazon_reviews_v1") model = AutoModelForSequenceClassification.from_pretrained("shuli/deberta_amazon_reviews_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7d598d0d6dbe19f89a3108ff847d7ffe9f6a50495cee27ea3ce4d6a3568373d
- Size of remote file:
- 738 MB
- SHA256:
- 850b7646d8d9b117eda4ba1b76d336dc04af3582683a218e36473a5e9c49fd64
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