Instructions to use google/rembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/rembert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/rembert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/rembert: direct link, hf CLI and curl.
- Browser
- Download file 2.3 GB
-
https://huggingface.co/google/rembert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/rembert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/rembert/resolve/main/pytorch_model.bin
2.3 GB
- Xet hash:
- 0810ccf76750ef8ededcace29c92f63b3b9e80afc255a417994f80fde6bfae13
- Size of remote file:
- 2.3 GB
- SHA256:
- 5d06ccca502501049b074a324ea1645b8b683ebf5feb0ff47045567ed5e07e06
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