Translation
Transformers
Safetensors
Indonesian
Gorontalo
mbart
text2text-generation
gorontalo
indonesian
bahasa-daerah
low-resource
seq2seq
nmt
hulontalo
Eval Results (legacy)
Instructions to use datanikah9/tuwili with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datanikah9/tuwili 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="datanikah9/tuwili")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("datanikah9/tuwili") model = AutoModelForSeq2SeqLM.from_pretrained("datanikah9/tuwili", device_map="auto") - Notebooks
- Google Colab
- Kaggle
π Fix contoh dataset: gunakan data asli (bergotong royong β mohuyula)
Browse files
README.md
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@@ -285,8 +285,8 @@ Model ini dilatih menggunakan **309.788 instruksi fine-tuning** dua arah (bidire
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```json
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{
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"instruction": "Terjemahkan kata atau kalimat berikut dari bahasa Indonesia ke bahasa Gorontalo.",
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"input": "
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"output": "
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}
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```
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```json
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{
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"instruction": "Terjemahkan kata atau kalimat berikut dari bahasa Indonesia ke bahasa Gorontalo.",
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"input": "bergotong royong",
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"output": "mohuyula"
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}
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```
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