Instructions to use PhatcatDK/t5gemma-9b-2b-ul2-encoder-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PhatcatDK/t5gemma-9b-2b-ul2-encoder-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PhatcatDK/t5gemma-9b-2b-ul2-encoder-only")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("PhatcatDK/t5gemma-9b-2b-ul2-encoder-only") model = AutoModel.from_pretrained("PhatcatDK/t5gemma-9b-2b-ul2-encoder-only") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d4b2ece5256e1747b6af78855154781f668db653056a61b1f5d4701bb47f248
- Size of remote file:
- 34.4 MB
- SHA256:
- 7794135caa3ea73918949c902a781cc61dab674a4b59c17d85931c77c1114cbd
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