Instructions to use rkoh/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rkoh/results with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rkoh/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spm.model from rkoh/results: direct link, hf CLI and curl.
- Browser
- Download file 2.46 MB
-
https://huggingface.co/rkoh/results/resolve/main/spm.model
- Command line
-
hf download hf://rkoh/results/spm.model
-
curl -L -o spm.model https://huggingface.co/rkoh/results/resolve/main/spm.model
2.46 MB
- Xet hash:
- ceef70ee5c068f2e8ec2ea787d1566d2f5846b612f0e0a3879edffa246dc91cf
- Size of remote file:
- 2.46 MB
- SHA256:
- c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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