Instructions to use xiaothung/t5-base-bt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaothung/t5-base-bt2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xiaothung/t5-base-bt2") model = AutoModelForSeq2SeqLM.from_pretrained("xiaothung/t5-base-bt2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from xiaothung/t5-base-bt2: direct link, hf CLI and curl.
- Browser
- Download file 1.78 GB
-
https://huggingface.co/xiaothung/t5-base-bt2/resolve/main/optimizer.pt
- Command line
-
hf download hf://xiaothung/t5-base-bt2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/xiaothung/t5-base-bt2/resolve/main/optimizer.pt
1.78 GB
- Xet hash:
- 55937bcbae794b8c09b61c733f2ad1d8cd5eb21e4d6938a9a6957bfcdfa44d26
- Size of remote file:
- 1.78 GB
- SHA256:
- 34573b3c692caea0989df3d852889b73e38e38e80e67708029fd875507f50660
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.