Instructions to use learn3r/longt5_xl_gov_bp_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/longt5_xl_gov_bp_5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/longt5_xl_gov_bp_5") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/longt5_xl_gov_bp_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 333421f24bd47c7c19aa165e54793d32fcfb4c7d18c909ac297d0cb38dd9691b
- Size of remote file:
- 4.79 kB
- SHA256:
- 2884dd2d60f8cc58e538ef8f21e486f899e6160ecf1357d7e1b6827b568f689f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.