Translation
Transformers
Safetensors
English
Tagalog
gemma2
text-generation
trl
sft
text-generation-inference
Instructions to use charlottepuopolo/sealion-3v-9b-it-taglish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charlottepuopolo/sealion-3v-9b-it-taglish 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="charlottepuopolo/sealion-3v-9b-it-taglish")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("charlottepuopolo/sealion-3v-9b-it-taglish") model = AutoModelForMultimodalLM.from_pretrained("charlottepuopolo/sealion-3v-9b-it-taglish") - Notebooks
- Google Colab
- Kaggle
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- **Repository:** https://github.com/puopolo/Taglish-Translation/tree/main/prompts
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- **Paper:** [Coming soon]
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If you use this model, please cite:
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@misc{puopolo2025taglish,
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- **Repository:** https://github.com/puopolo/Taglish-Translation/tree/main/prompts
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- **Paper:** [Coming soon]
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```
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If you use this model, please cite:
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@misc{puopolo2025taglish,
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