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
- Xet hash:
- 4747d621061ff864406560d79c8c3e355c05f2e88ba30eba88c8d5881d3d220d
- Size of remote file:
- 4.24 MB
- SHA256:
- 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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