Instructions to use MagicalCat29/hotel_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MagicalCat29/hotel_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MagicalCat29/hotel_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MagicalCat29/hotel_model") model = AutoModelForTokenClassification.from_pretrained("MagicalCat29/hotel_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10e3faaf9f2b64e04a9a0518886750a4adbd0cea2ce232df9916b787353db115
- Size of remote file:
- 407 MB
- SHA256:
- b91bdf2e3734e96da01fbe9c0c997bc259092257e886c0278fedc2d11d949083
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