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:
- 17ea427e5c89b57b0b4112b1aed5d1dbd465f7621c2b818ec953c9628e5ff509
- Size of remote file:
- 2.95 GB
- SHA256:
- 3d3dfc3ef553602757800b7a71368f7a98483c17a2bf5757ab36319021d1847a
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