Instructions to use luffycodes/t5_base_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luffycodes/t5_base_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("luffycodes/t5_base_v2") model = AutoModelForSeq2SeqLM.from_pretrained("luffycodes/t5_base_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb57a3a0b33dfad6120adbe97000308e573f737202fca262ff24ad866c04bfb2
- Size of remote file:
- 892 MB
- SHA256:
- 0e27a3a6939d67be84b1cbb627f3085666cd4105392654edfec44458fa628c3c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.