Instructions to use Tobias/bert-base-uncased_English_Hotel_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tobias/bert-base-uncased_English_Hotel_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tobias/bert-base-uncased_English_Hotel_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tobias/bert-base-uncased_English_Hotel_classification") model = AutoModelForSequenceClassification.from_pretrained("Tobias/bert-base-uncased_English_Hotel_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download bert-base-uncased_English_classification.jpg from Tobias/bert-base-uncased_English_Hotel_classification: direct link, hf CLI and curl.
- Browser
- Download file 125 kB
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https://huggingface.co/Tobias/bert-base-uncased_English_Hotel_classification/resolve/main/bert-base-uncased_English_classification.jpg
- Command line
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hf download hf://Tobias/bert-base-uncased_English_Hotel_classification/bert-base-uncased_English_classification.jpg
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curl -L -o bert-base-uncased_English_classification.jpg https://huggingface.co/Tobias/bert-base-uncased_English_Hotel_classification/resolve/main/bert-base-uncased_English_classification.jpg
125 kB
