Instructions to use MutazYoune/hotel_reviews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MutazYoune/hotel_reviews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MutazYoune/hotel_reviews")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MutazYoune/hotel_reviews") model = AutoModelForTokenClassification.from_pretrained("MutazYoune/hotel_reviews") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1883d120a757312931760ebe61dd061587b754c232e6fcf851815e08bcc4e626
- Size of remote file:
- 434 MB
- SHA256:
- 3a4ec0aa0f2538f488c4124e012818625ad1bd485fdff77c1740e9201c4a03a1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.