Instructions to use marksverdhei/t5-large-reddit-syac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marksverdhei/t5-large-reddit-syac with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("marksverdhei/t5-large-reddit-syac") model = AutoModelForSeq2SeqLM.from_pretrained("marksverdhei/t5-large-reddit-syac", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b7c096314168ef16fd4a80dd710a192c2f39e7366fd2209bfa121cce1e962d7
- Size of remote file:
- 5.35 MB
- SHA256:
- ebd2117ae4e13632591fb12df0a776c72477e93473292a6ed69227ecbd85b1ad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.