Instructions to use pcuenq/tiny-gemma-test4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pcuenq/tiny-gemma-test4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pcuenq/tiny-gemma-test4")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pcuenq/tiny-gemma-test4") model = AutoModel.from_pretrained("pcuenq/tiny-gemma-test4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 206878f2e045d3f4ca85cab982b3b9c07f2619d948d77a448d877607e3e41c54
- Size of remote file:
- 92.8 MB
- SHA256:
- 12cc2c981c466e1d1e9b6c5f44a2061895fa78c68d70bb1b5a3438a59a89b129
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