Instructions to use AlexHung29629/gemma-4-e4b-it-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexHung29629/gemma-4-e4b-it-text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AlexHung29629/gemma-4-e4b-it-text")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AlexHung29629/gemma-4-e4b-it-text") model = AutoModel.from_pretrained("AlexHung29629/gemma-4-e4b-it-text") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c62336ad134cad6f154d84eb0e5a5fa9ca17cd665ef3ba5ac4fd02b1486760b4
- Size of remote file:
- 32.2 MB
- SHA256:
- cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
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