Translation
PEFT
Safetensors
English
Zulu
african-languages
scientific-translation
afriscience-mt
lora
llama
Instructions to use dsfsi/llama_3.1_8b_instruct-lora-r4-eng-zul with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dsfsi/llama_3.1_8b_instruct-lora-r4-eng-zul with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "dsfsi/llama_3.1_8b_instruct-lora-r4-eng-zul") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93e32b78f092aa1ab4a3374b8de270996454c1e1f2a4708cfb737b1b6176d541
- Size of remote file:
- 42 MB
- SHA256:
- 3b960568fa341f284c5a2dbdff2aadb6a7ecf888aad6a0aa389f96f1a5e281a0
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