Translation
PEFT
Safetensors
Transformers
Swahili (individual language)
Kalenjin
kalenjin
swahili
lora
nllb
qlora
Instructions to use mutaician/nllb-swahili-kalenjin-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mutaician/nllb-swahili-kalenjin-v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M") model = PeftModel.from_pretrained(base_model, "mutaician/nllb-swahili-kalenjin-v3") - Transformers
How to use mutaician/nllb-swahili-kalenjin-v3 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="mutaician/nllb-swahili-kalenjin-v3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mutaician/nllb-swahili-kalenjin-v3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac9ef4c663d95dc461fdcd5ac0547b493d288709483a137e20ee1491a10478d6
- Size of remote file:
- 31.9 MB
- SHA256:
- bb765247710dd2dcae8ea188fe92e0a1eaf219fda634f878efb649172211ba16
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