Instructions to use holgerson/bridge_pnp_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use holgerson/bridge_pnp_all with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("holgerson/bridge_pnp_all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download example_batch.msgpack from holgerson/bridge_pnp_all: direct link, hf CLI and curl.
- Browser
- Download file 591 kB
-
https://huggingface.co/holgerson/bridge_pnp_all/resolve/main/example_batch.msgpack
- Command line
-
hf download hf://holgerson/bridge_pnp_all/example_batch.msgpack
-
curl -L -o example_batch.msgpack https://huggingface.co/holgerson/bridge_pnp_all/resolve/main/example_batch.msgpack
591 kB
- Xet hash:
- 9e9381e422ceeee5f183d4ca94dbe832c317887f54851222f06a74511c00e16b
- Size of remote file:
- 591 kB
- SHA256:
- 90f82f2aa227ebd2fcd1086a01720f8fa669b6cd5dfe9e882a55841854eb4869
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