Instructions to use OwOOwO/eacc_2_5_mega_rt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OwOOwO/eacc_2_5_mega_rt with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OwOOwO/eacc_2_5_mega_rt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from OwOOwO/eacc_2_5_mega_rt: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/OwOOwO/eacc_2_5_mega_rt/resolve/main/tokenizer.json
- Command line
-
hf download hf://OwOOwO/eacc_2_5_mega_rt/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/OwOOwO/eacc_2_5_mega_rt/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 4334a4771e255d19b0afcda69f5cf60adf02dd73206140ab273cba98f8a2d12b
- Size of remote file:
- 17.5 MB
- SHA256:
- 05e97791a5e007260de1db7e1692e53150e08cea481e2bf25435553380c147ee
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