Instructions to use Ridreb05/project-amaze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ridreb05/project-amaze with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ridreb05/project-amaze", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Ridreb05/project-amaze: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Ridreb05/project-amaze/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ridreb05/project-amaze/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ridreb05/project-amaze/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- fa97c8db43bf1c5104fadca317fa93e149bdb82d4df408d168ad848277b0b15d
- Size of remote file:
- 11.4 MB
- SHA256:
- af5891a15588546db1ac7f2baf8fa94835a51a85c032c39793a55bb048b47446
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