Instructions to use ModelSpace/GemmaX2-28-9B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelSpace/GemmaX2-28-9B-v0.1 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-v0.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ModelSpace/GemmaX2-28-9B-v0.1") model = AutoModelForCausalLM.from_pretrained("ModelSpace/GemmaX2-28-9B-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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base_model:
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- google/gemma-2-9b
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pipeline_tag: translation
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library_name:
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---
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# Model Card for GemmaX2-28
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base_model:
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pipeline_tag: translation
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library_name: transformers
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# Model Card for GemmaX2-28
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