Translation
PEFT
Safetensors
Transformers
English
Sidamo
lora
nllb
sidaama
sidama
low-resource
seq2seq
Eval Results (legacy)
Instructions to use Anley-dev/nllb-sidaama-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Anley-dev/nllb-sidaama-lora 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, "Anley-dev/nllb-sidaama-lora") - Transformers
How to use Anley-dev/nllb-sidaama-lora 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="Anley-dev/nllb-sidaama-lora")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anley-dev/nllb-sidaama-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Anley-dev/nllb-sidaama-lora: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/Anley-dev/nllb-sidaama-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://Anley-dev/nllb-sidaama-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Anley-dev/nllb-sidaama-lora/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- aba09a6be85d8b10f496f3ee8714a44a86190bf438ca94cef4bbbf921535840d
- Size of remote file:
- 32.2 MB
- SHA256:
- 570293b084645660e4881a8acf17c2c28dac07a64b17cc0dca332ef61fb1b0b9
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