Instructions to use PhatcatDK/t5gemma-2-4b-4b-encoder-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PhatcatDK/t5gemma-2-4b-4b-encoder-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PhatcatDK/t5gemma-2-4b-4b-encoder-only")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("PhatcatDK/t5gemma-2-4b-4b-encoder-only") model = AutoModelForMultimodalLM.from_pretrained("PhatcatDK/t5gemma-2-4b-4b-encoder-only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f91fb5500c8a124432162e0e2fc3bb9da98e362e0ad80e7d8f36db03011ccaf
- Size of remote file:
- 33.4 MB
- SHA256:
- 4c76318660cc87c3029535cc1596717df67132d231ce4ecf088ba2a8ec07c098
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.