Instructions to use galkinv42/filler-choice2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galkinv42/filler-choice2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("galkinv42/filler-choice2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from galkinv42/filler-choice2: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/galkinv42/filler-choice2/resolve/main/tokenizer.json
- Command line
-
hf download hf://galkinv42/filler-choice2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/galkinv42/filler-choice2/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 80b738a128c2629e76ac0134357001f6cb6d813ef69f3595e4de7e16a865a14a
- Size of remote file:
- 11.4 MB
- SHA256:
- b6ab73da6367cfbed105277f80db0085b92b6620ce6034c48c03949cbf231638
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