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
Download LICENSE from ModelSpace/GemmaX2-28-9B-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 127 Bytes
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https://huggingface.co/ModelSpace/GemmaX2-28-9B-v0.1/resolve/main/LICENSE
- Command line
-
hf download hf://ModelSpace/GemmaX2-28-9B-v0.1/LICENSE
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curl -L -o LICENSE https://huggingface.co/ModelSpace/GemmaX2-28-9B-v0.1/resolve/main/LICENSE
127 Bytes
| # GemmaX2 Terms of Use | |
| Copyright (C) 2024 Xiaomi Corporation. | |
| Licensed under the [Gemma](https://ai.google.dev/gemma/terms). | |