Instructions to use liwii/fc-binary-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liwii/fc-binary-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, ConsistentSentenceClassifier tokenizer = AutoTokenizer.from_pretrained("liwii/fc-binary-model") model = ConsistentSentenceClassifier.from_pretrained("liwii/fc-binary-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from liwii/fc-binary-model: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/liwii/fc-binary-model/resolve/7d1ca1aa121a6fbee97e17c7153fe54551363243/training_args.bin
- Command line
-
hf download hf://liwii/fc-binary-model@7d1ca1aa121a6fbee97e17c7153fe54551363243/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/liwii/fc-binary-model/resolve/7d1ca1aa121a6fbee97e17c7153fe54551363243/training_args.bin
4.09 kB
- Xet hash:
- ba37bad0c554f03968922ad6b14ef9e4b354f0d52d585b14ef5aa0c7795c50b3
- Size of remote file:
- 4.09 kB
- SHA256:
- 833ff1bdd28e9afddc14f87d1387cff5215d34273893c3374eb86022bbc2e4c2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.