Instructions to use AI-Lab-Makerere/lg_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI-Lab-Makerere/lg_en with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AI-Lab-Makerere/lg_en") model = AutoModelForSeq2SeqLM.from_pretrained("AI-Lab-Makerere/lg_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AI-Lab-Makerere/lg_en: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/AI-Lab-Makerere/lg_en/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AI-Lab-Makerere/lg_en/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AI-Lab-Makerere/lg_en/resolve/main/pytorch_model.bin
308 MB
- Xet hash:
- 5d91ce40087f99ba8daf7a08ea55738fbd56a874b0a412b10dec5cc78e28b4a7
- Size of remote file:
- 308 MB
- SHA256:
- 712855101f6bf02de0508523a8a4cc5987041ab5c32e0aa1a3497ba969b52d5a
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