Instructions to use Shitao/bge-stackques with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shitao/bge-stackques with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Shitao/bge-stackques")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Shitao/bge-stackques") model = AutoModel.from_pretrained("Shitao/bge-stackques") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4586f5968e54371155e0a6167438ec1f8a39ff75f9cd4a7e8eb4d73a11edede0
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size 437955512
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