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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FabianGroeger/HotelBERT-small") model = AutoModelForMaskedLM.from_pretrained("FabianGroeger/HotelBERT-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from FabianGroeger/HotelBERT-small: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/FabianGroeger/HotelBERT-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://FabianGroeger/HotelBERT-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/FabianGroeger/HotelBERT-small/resolve/main/pytorch_model.bin
334 MB
- Xet hash:
- 75bc6eb545e3d398b751c1f2e717be516ad322d151e58cb7930a9685a7bd17fb
- Size of remote file:
- 334 MB
- SHA256:
- 158642a7dbfa9fba785f0e2295e819e4170022bf8fcb1345f25e1bc6c22cbd7f
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