Instructions to use Cowboygarage/test_review_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cowboygarage/test_review_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cowboygarage/test_review_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cowboygarage/test_review_classifier") model = AutoModelForSequenceClassification.from_pretrained("Cowboygarage/test_review_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0be8ecc8bfe9677fc8cc551740da2606c65e9a985f068634b7863071cc2b4f62
- Size of remote file:
- 5.3 kB
- SHA256:
- d6507fda5ff7baffaf203b8343b7d4c58ae9af423c40ba8d02649c1bc04ae088
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