Instructions to use tlogandesigns/fairhousing-bert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tlogandesigns/fairhousing-bert-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tlogandesigns/fairhousing-bert-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tlogandesigns/fairhousing-bert-tiny") model = AutoModelForSequenceClassification.from_pretrained("tlogandesigns/fairhousing-bert-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tlogandesigns/fairhousing-bert-tiny: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/tlogandesigns/fairhousing-bert-tiny/resolve/main/training_args.bin
- Command line
-
hf download hf://tlogandesigns/fairhousing-bert-tiny/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tlogandesigns/fairhousing-bert-tiny/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 0d023bc2401f03e9db9b38ba0572c2048991cd593861cce4f113959c7e79b9eb
- Size of remote file:
- 5.78 kB
- SHA256:
- e79335d792d5581444eb518d7e1ba3ba19cbae709ff47005315e4263f31cc5ec
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