Translation
PEFT
Safetensors
Amharic
English
african-languages
scientific-translation
afriscience-mt
lora
gemma
Instructions to use dsfsi/gemma_2_9b_it-lora-r4-amh-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dsfsi/gemma_2_9b_it-lora-r4-amh-eng with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "dsfsi/gemma_2_9b_it-lora-r4-amh-eng") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from dsfsi/gemma_2_9b_it-lora-r4-amh-eng: direct link, hf CLI and curl.
- Browser
- Download file 54.1 MB
-
https://huggingface.co/dsfsi/gemma_2_9b_it-lora-r4-amh-eng/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://dsfsi/gemma_2_9b_it-lora-r4-amh-eng/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/dsfsi/gemma_2_9b_it-lora-r4-amh-eng/resolve/main/adapter_model.safetensors
54.1 MB
- Xet hash:
- d238b128463d548148789cbc7b441f3870748a8369647c78bf345d914e75f96a
- Size of remote file:
- 54.1 MB
- SHA256:
- 4f526245843482912ea118f274b05c8e619f0100d71a003f8595777690671f1a
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