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")
https://huggingface.co/ModelSpace/GemmaX2-28-9B-v0.1/resolve/a46cf45f95844167390fb7615c0dbd18aca61010/README.md
hf download hf://ModelSpace/GemmaX2-28-9B-v0.1@a46cf45f95844167390fb7615c0dbd18aca61010/README.md
curl -L -o README.md https://huggingface.co/ModelSpace/GemmaX2-28-9B-v0.1/resolve/a46cf45f95844167390fb7615c0dbd18aca61010/README.md
license: other license_name: license license_link: LICENSE
