Instructions to use FabianGroeger/HotelBERT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FabianGroeger/HotelBERT-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FabianGroeger/HotelBERT-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FabianGroeger/HotelBERT-small") model = AutoModelForMaskedLM.from_pretrained("FabianGroeger/HotelBERT-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5773ac05a1da9414ae98dc4d5c2dff1d4cb8fe31891ed61164fdb1a65e37bb4
- Size of remote file:
- 2.8 kB
- SHA256:
- cb2d505c2692dfb9058f861617ee8dbf4e5d8b7b92280b95450c726565b0c472
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