Instructions to use cimm-kzn/rudr-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cimm-kzn/rudr-bert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cimm-kzn/rudr-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cimm-kzn/rudr-bert: direct link, hf CLI and curl.
- Browser
- Download file 714 MB
-
https://huggingface.co/cimm-kzn/rudr-bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cimm-kzn/rudr-bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cimm-kzn/rudr-bert/resolve/main/pytorch_model.bin
714 MB
- Xet hash:
- c14ededc8222675ead9eb8d1ca338eae11ac758f2262cdd8a41d31f89aad911d
- Size of remote file:
- 714 MB
- SHA256:
- 80bd35f1456cecc84117e279bfbe688762c16c29627f14ae4054565a68f8aa98
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