Instructions to use benjamin/compoundpiece-stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/compoundpiece-stage1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("benjamin/compoundpiece-stage1") model = AutoModelForSeq2SeqLM.from_pretrained("benjamin/compoundpiece-stage1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aefc181ad2d0d30f27fd11a8e99b96cce63f6b65e743883c107c1819d35bb23f
- Size of remote file:
- 2.33 GB
- SHA256:
- 05ae4277899b6d54463c1a4f692ebf4be1cbd7984d1de9b5f84a14161a800921
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.