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
Update LICENSE
Browse files
LICENSE
CHANGED
|
@@ -1 +1,3 @@
|
|
| 1 |
-
|
|
|
|
|
|
|
|
|
| 1 |
+
Copyright (C) 2024 Xiaomi Corporation.
|
| 2 |
+
|
| 3 |
+
Licensed under the [Gemma](https://ai.google.dev/gemma/terms).
|