Translation
PEFT
Safetensors
Zulu
English
african-languages
scientific-translation
afriscience-mt
lora
causal-lm
Eval Results (legacy)
Instructions to use dsfsi/tiny_aya_global-lora-r64-zul-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dsfsi/tiny_aya_global-lora-r64-zul-eng with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("CohereLabs/tiny-aya-global") model = PeftModel.from_pretrained(base_model, "dsfsi/tiny_aya_global-lora-r64-zul-eng") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1036cde76890ef8a16e7b5d3b7e11b23f9c3549f5d47785aa6ae9b05af65913
- Size of remote file:
- 484 MB
- SHA256:
- 5385093a2c045ab7e592c215bb47d916d044e4ecf8cf1a40cf8a914b44c21953
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.