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
Download config.json from westlake-repl/ProTrek_650M: direct link, hf CLI and curl.
- Browser
- Download file 53 Bytes
-
https://huggingface.co/westlake-repl/ProTrek_650M/resolve/main/config.json
- Command line
-
hf download hf://westlake-repl/ProTrek_650M/config.json
-
curl -L -o config.json https://huggingface.co/westlake-repl/ProTrek_650M/resolve/main/config.json
53 Bytes
Invalid JSON:Unexpected token '#', "# This is "... is not valid JSON
| # This is used by HuggingFace to count download times |