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:
# pip install -U transformers accelerate # 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
Download rng_state_0.pth from declare-lab/dialect: direct link, hf CLI and curl.
- Browser
- Download file 14.5 kB
-
https://huggingface.co/declare-lab/dialect/resolve/main/rng_state_0.pth
- Command line
-
hf download hf://declare-lab/dialect/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/declare-lab/dialect/resolve/main/rng_state_0.pth
14.5 kB
- Xet hash:
- c495bad90522f24bf8c83dbc1194202eb2f131503e801f0207609c003b653a71
- Size of remote file:
- 14.5 kB
- SHA256:
- 0426f98a6f3e83788a3c20a56b703e690d1b9f704c348a8b5e4de89590384588
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