Instructions to use westlake-repl/ProTrek_650M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use westlake-repl/ProTrek_650M with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("westlake-repl/ProTrek_650M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcbf5f7191da2807d59a54010b1e4569bb17932954f241cf9b63399ec240bf28
- Size of remote file:
- 3.64 GB
- SHA256:
- 578b1e15d1a9468bbdb23731d09e2c2243c1527eb2c99acf10fb3eccf2299052
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