Instructions to use declare-lab/dialect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/dialect with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("declare-lab/dialect") model = AutoModelForSeq2SeqLM.from_pretrained("declare-lab/dialect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b09c8e105ea879f9df05fb4ae4a78009712f8c181a73cac74ad1becef4d5e93f
- Size of remote file:
- 3.18 kB
- SHA256:
- 3cf757e80970ef6259c37f0cf6ad11af6969ec9ebab554e228573405a1bae239
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