Instructions to use bumblebee-testing/tiny-random-GemmaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-GemmaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bumblebee-testing/tiny-random-GemmaModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-GemmaModel") model = AutoModel.from_pretrained("bumblebee-testing/tiny-random-GemmaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95a827335ad28f5aa740aa2612fc7c82cee51cb6feb8bbfb4036bdb3c6184644
- Size of remote file:
- 187 kB
- SHA256:
- f485ba465b50b326dd4df557e00bff37f073970ec35b8f6d3318ca36d38a112d
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