Instructions to use Suchinthana/Finetuned-BERT-HotelClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suchinthana/Finetuned-BERT-HotelClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Suchinthana/Finetuned-BERT-HotelClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Suchinthana/Finetuned-BERT-HotelClassification") model = AutoModelForSequenceClassification.from_pretrained("Suchinthana/Finetuned-BERT-HotelClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Suchinthana/Finetuned-BERT-HotelClassification: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Suchinthana/Finetuned-BERT-HotelClassification/resolve/main/model.safetensors
- Command line
-
hf download hf://Suchinthana/Finetuned-BERT-HotelClassification/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Suchinthana/Finetuned-BERT-HotelClassification/resolve/main/model.safetensors
438 MB
- Xet hash:
- 7b1c5dbab55f49825f3a40f45927d57b04ccafe2fb9abeaed2651b6c6a4055b1
- Size of remote file:
- 438 MB
- SHA256:
- ac8ad1999b8016af580d60ba821b1f77cc90726ad41734d68ccd7ae74e742ef1
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