Instructions to use Splend1dchan/long-t5lephone-5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/long-t5lephone-5000 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Splend1dchan/long-t5lephone-5000") model = AutoModelForMultimodalLM.from_pretrained("Splend1dchan/long-t5lephone-5000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad65959ad802893cf150dba1a088d7f416513f018a357650637f8eb21f5ce505
- Size of remote file:
- 990 MB
- SHA256:
- e7fb90cd74aa26668f21bad277f38dba420098c0d3fbe8b4bcf00ccebaf735a9
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