Instructions to use bjivanovich/swift-1.5-27b-coding-dora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bjivanovich/swift-1.5-27b-coding-dora-adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bjivanovich/swift-1.5-27b-coding-dora-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bjivanovich/swift-1.5-27b-coding-dora-adapter: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/bjivanovich/swift-1.5-27b-coding-dora-adapter/resolve/main/tokenizer.json
- Command line
-
hf download hf://bjivanovich/swift-1.5-27b-coding-dora-adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bjivanovich/swift-1.5-27b-coding-dora-adapter/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 647eb1a40a362cf4200586955d49d6410a54f80102baf123e8fe61d9caa3cb13
- Size of remote file:
- 20 MB
- SHA256:
- 79cfe7e307d6fdecf69388b5c2986676bbaccfa2e5eca439a64693f79fc594ae
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