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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 670df9592bfa37dfb6200730a2a17084ded968498d1a872339cda0e6b8365860
- Size of remote file:
- 623 Bytes
- SHA256:
- e9143d40b5b381261adcb12d94cf28327a88dea56b2c4935acd8ce43b9edc08c
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