Instructions to use allegro/herbert-klej-cased-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allegro/herbert-klej-cased-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("allegro/herbert-klej-cased-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from allegro/herbert-klej-cased-v1: direct link, hf CLI and curl.
- Browser
- Download file 500 MB
-
https://huggingface.co/allegro/herbert-klej-cased-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://allegro/herbert-klej-cased-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/allegro/herbert-klej-cased-v1/resolve/main/pytorch_model.bin
500 MB
- Xet hash:
- 7f9b183acdb762843e74518dba922be4d444c654db672b3ee4ef8b7fc4ca77c2
- Size of remote file:
- 500 MB
- SHA256:
- f0d76e5cd761e44fb34e74a4559c7cc450b7183aa7505695a25085cc0cf76376
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