Instructions to use gsstec322/gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsstec322/gemma with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("gsstec322/gemma") model = AutoModelForCausalLM.from_pretrained("gsstec322/gemma") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca1d1863709cdf3311bf3516546efa21a8dd497da10aed30c768bba1d83b2fe7
- Size of remote file:
- 32.2 MB
- SHA256:
- 75a6583c1a418e2bbd79c60d95d28e0f5bf549ad3f2990b5bdb5238c6c2bf70c
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