Instructions to use Kicel/restaraunt_review_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kicel/restaraunt_review_classifier with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("FacebookAI/xlm-roberta-base") model = PeftModel.from_pretrained(base_model, "Kicel/restaraunt_review_classifier") - Transformers
How to use Kicel/restaraunt_review_classifier with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kicel/restaraunt_review_classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2d82e1bd0aec259aa622160bbe4502a27ab97087d865fb13c75cc32a5280d1f
- Size of remote file:
- 5.84 kB
- SHA256:
- 5a397463aae41c17d0244b9526ce1ec8f68188cc395bc0b932c40672d9a63340
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