Instructions to use tlkh/t5_large_fp16_untuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tlkh/t5_large_fp16_untuned with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tlkh/t5_large_fp16_untuned") model = AutoModelForSeq2SeqLM.from_pretrained("tlkh/t5_large_fp16_untuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 062f8578953bb0de6d47e83991af830b82a2e0f3b9ebddd47724693b66c080c7
- Size of remote file:
- 1.48 GB
- SHA256:
- de3168e0a139e8cc1303fe03443a80fe2b5bda6caa7cb4f7d51cc0a48649eae5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.