Instructions to use bumblebee-testing/tiny-random-Gemma3TextModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-Gemma3TextModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bumblebee-testing/tiny-random-Gemma3TextModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-Gemma3TextModel") model = AutoModel.from_pretrained("bumblebee-testing/tiny-random-Gemma3TextModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from bumblebee-testing/tiny-random-Gemma3TextModel: direct link, hf CLI and curl.
- Browser
- Download file 954 kB
-
https://huggingface.co/bumblebee-testing/tiny-random-Gemma3TextModel/resolve/main/model.safetensors
- Command line
-
hf download hf://bumblebee-testing/tiny-random-Gemma3TextModel/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/bumblebee-testing/tiny-random-Gemma3TextModel/resolve/main/model.safetensors
954 kB
- Xet hash:
- 665bb1012ff801ecbe600c7086dd6e9aa90cd2165e8005499f269a73cbeb037a
- Size of remote file:
- 954 kB
- SHA256:
- 4f8c84f76070f813449602781a443e0c7688107f17ca7cbb6cbaeca15c57d0b9
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