Instructions to use palat/bort with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use palat/bort with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("palat/bort") model = AutoModelForSeq2SeqLM.from_pretrained("palat/bort", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 636fc7565b86acd007dac6ab2f1a4ca212f647e0a2585413087c37af276e9f26
- Size of remote file:
- 561 MB
- SHA256:
- d749d129326648ba10d0d7e1bff1eabd2e27daf90365b28d6a30198b955a450c
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