Instructions to use AI-Lab-Makerere/en_lg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI-Lab-Makerere/en_lg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AI-Lab-Makerere/en_lg") model = AutoModelForSeq2SeqLM.from_pretrained("AI-Lab-Makerere/en_lg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AI-Lab-Makerere/en_lg: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/AI-Lab-Makerere/en_lg/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AI-Lab-Makerere/en_lg/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AI-Lab-Makerere/en_lg/resolve/main/pytorch_model.bin
308 MB
- Xet hash:
- a4032e7a09e3a399473096f1de1ffb69661bafb52d314c18982ab689e01565da
- Size of remote file:
- 308 MB
- SHA256:
- f44e58b9530e070329aad082fd4d454b9a0edb08f0980b81a719105fa27eb54e
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