Instructions to use RogerB/eng-rw_translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RogerB/eng-rw_translation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RogerB/eng-rw_translation") model = AutoModelForSeq2SeqLM.from_pretrained("RogerB/eng-rw_translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from RogerB/eng-rw_translation: direct link, hf CLI and curl.
- Browser
- Download file 812 kB
-
https://huggingface.co/RogerB/eng-rw_translation/resolve/main/source.spm
- Command line
-
hf download hf://RogerB/eng-rw_translation/source.spm
-
curl -L -o source.spm https://huggingface.co/RogerB/eng-rw_translation/resolve/main/source.spm
812 kB
- Xet hash:
- 78770f4b676826941044136340c69a3338ad8bbdc6bbac918d337b4056385e2a
- Size of remote file:
- 812 kB
- SHA256:
- b77d22a4ae3ddf4b347ee9a84678a8cecc4e9ce591edc1a84da7defef1ca5943
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