Instructions to use ModelSpace/GemmaX2-28-2B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelSpace/GemmaX2-28-2B-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/GemmaX2-28-2B-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("ModelSpace/GemmaX2-28-2B-v0.1") model = AutoModelForMultimodalLM.from_pretrained("ModelSpace/GemmaX2-28-2B-v0.1") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a48638845f8f80eb1535694ab91cf22b52bc8fc91c21069034a5d0d1a72da4cc
- Size of remote file:
- 796 kB
- SHA256:
- 74ea0eb824b477834a1ac93e58eb87ecae6ec9fb14fd48d3743f246b75af6307
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.