Instructions to use cyun9601/FAQ_BGE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cyun9601/FAQ_BGE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cyun9601/FAQ_BGE")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("cyun9601/FAQ_BGE") model = AutoModel.from_pretrained("cyun9601/FAQ_BGE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c04a13e5301748639a0aff20dafcf438c1592eb3be82922c20828a946fdc6ef
- Size of remote file:
- 17.1 MB
- SHA256:
- c564888dbafbfebcc7a62d2f4049afe83e6fb5acd50a97082a84407c77ddd8ff
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