Instructions to use grammarly/spivavtor-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grammarly/spivavtor-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("grammarly/spivavtor-large") model = AutoModelForSeq2SeqLM.from_pretrained("grammarly/spivavtor-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de6dd9be37fb31ef8da967a5c9e2d1ed5006d27422ffdfe9bd3f000d14444e19
- Size of remote file:
- 16.3 MB
- SHA256:
- 54e5c72a5ea09da48b2f316760b8bc5a445683ab9a5bc6b68db5d8db624ecceb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.