Instructions to use ModelSpace/GemmaX2-28-9B-Pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelSpace/GemmaX2-28-9B-Pretrain 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="ModelSpace/GemmaX2-28-9B-Pretrain")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ModelSpace/GemmaX2-28-9B-Pretrain") model = AutoModelForCausalLM.from_pretrained("ModelSpace/GemmaX2-28-9B-Pretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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GemmaX2-28 is a model based on the Gamma2 architecture, further pre-trained and fine-tuned with instruction-based objectives across 28 languages, and Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms.
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