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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ModelSpace/GemmaX2-28-2B-v0.1") model = AutoModelForCausalLM.from_pretrained("ModelSpace/GemmaX2-28-2B-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ModelSpace/GemmaX2-28-2B-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/ModelSpace/GemmaX2-28-2B-v0.1/resolve/ba0a81b5dd01f9bb196de8531f24307dbbc4c7f3/tokenizer.json
- Command line
-
hf download hf://ModelSpace/GemmaX2-28-2B-v0.1@ba0a81b5dd01f9bb196de8531f24307dbbc4c7f3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ModelSpace/GemmaX2-28-2B-v0.1/resolve/ba0a81b5dd01f9bb196de8531f24307dbbc4c7f3/tokenizer.json
34.4 MB
- Xet hash:
- afa78551f6fdaff5671645d2394d4478e28255203cd7456448b0da82ae0a3ba8
- Size of remote file:
- 34.4 MB
- SHA256:
- 5f7eee611703c5ce5d1eee32d9cdcfe465647b8aff0c1dfb3bed7ad7dbb05060
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