Instructions to use AlbertHSU/ChineseFoodBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlbertHSU/ChineseFoodBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AlbertHSU/ChineseFoodBert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AlbertHSU/ChineseFoodBert") model = AutoModel.from_pretrained("AlbertHSU/ChineseFoodBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AlbertHSU/ChineseFoodBert: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/AlbertHSU/ChineseFoodBert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AlbertHSU/ChineseFoodBert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AlbertHSU/ChineseFoodBert/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- 03e1bca6230025298128a7ab8e54202d95fee5b9ebae7ade91f167962dc25fbc
- Size of remote file:
- 409 MB
- SHA256:
- 8ee8bc7f2bfe9cad3e0b6782c4f145cc10036f8d05d965a017d2997f2c54434b
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