Instructions to use iryska/bert_on_airbnb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iryska/bert_on_airbnb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iryska/bert_on_airbnb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iryska/bert_on_airbnb") model = AutoModelForSequenceClassification.from_pretrained("iryska/bert_on_airbnb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from iryska/bert_on_airbnb: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/iryska/bert_on_airbnb/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://iryska/bert_on_airbnb/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/iryska/bert_on_airbnb/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- cedd6d6a182b0763004a947e21005270bbdd72192cd9558518c5c11accfa56e0
- Size of remote file:
- 438 MB
- SHA256:
- 8ee8a81a6e6182501c42f862ea0a62a29fcb45ff4f29866131409246d4d97d2c
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