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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d588da16293bfea8d8c6a711a4089078d2a0e69f4711d0d359153b862d5ec9a
- Size of remote file:
- 4.92 GB
- SHA256:
- 66e8abf9262eeb2255c516b080ca478f3d7eec33ea4df54e43a3dc05c2aa0556
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