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
- Xet hash:
- d2c10a15aaab202321197d3f21fa4e1ca5cff2022a2abdba12192f59973335bf
- Size of remote file:
- 903 MB
- SHA256:
- cdc40cd14512370c42a4c45d0e1dfe1ca170356ee34d15e48a119ca76333c6fb
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