Instructions to use sanskar/JewelleryReviews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanskar/JewelleryReviews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sanskar/JewelleryReviews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sanskar/JewelleryReviews") model = AutoModelForSequenceClassification.from_pretrained("sanskar/JewelleryReviews", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd97aee3fcb350166ffd37574519cb32417567f8d3bd954a1156a3c06b8d407d
- Size of remote file:
- 268 MB
- SHA256:
- 494f00dcf0efae472858f5a129ec5c28645c92f97161aebfa2d756fcc5fdc459
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