Instructions to use Uphando-ng/naija-translate-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Uphando-ng/naija-translate-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Uphando-ng/naija-translate-base") model = AutoModelForSeq2SeqLM.from_pretrained("Uphando-ng/naija-translate-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Uphando-ng/naija-translate-base: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/Uphando-ng/naija-translate-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Uphando-ng/naija-translate-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Uphando-ng/naija-translate-base/resolve/main/pytorch_model.bin
1.22 GB
- Xet hash:
- cc4659ab0c0950cab59fdbf2597e839993ba7a02950ae15b0e9d95429f5dc9f0
- Size of remote file:
- 1.22 GB
- SHA256:
- 6d6f755b97e57dae7ee7e2d3d76ce38d4dc7b7b4dd83573bbcbb673c0ccbfcfa
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