Instructions to use yiqingx/AnchorDR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yiqingx/AnchorDR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="yiqingx/AnchorDR")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yiqingx/AnchorDR") model = AutoModel.from_pretrained("yiqingx/AnchorDR") - 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 sha256:1f87cb00cbfd4b11c1d9552592b428978133db215eb00ca996b5a79a83a99996
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size 902534720
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