Instructions to use Elcaida/pretrained1bv5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elcaida/pretrained1bv5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Elcaida/pretrained1bv5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Elcaida/pretrained1bv5: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Elcaida/pretrained1bv5/resolve/main/tokenizer.json
- Command line
-
hf download hf://Elcaida/pretrained1bv5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Elcaida/pretrained1bv5/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- b613712489b94b70ef318f5368f41249628a590cfc061d8da1e5d205fc077653
- Size of remote file:
- 17.2 MB
- SHA256:
- d1840f8e9072e3950bcb0f88ff04b3faf22ea4ee2bf359d363479baebd9784a0
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