Instructions to use Elcaida/mismall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elcaida/mismall with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Elcaida/mismall", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Elcaida/mismall: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Elcaida/mismall/resolve/main/tokenizer.json
- Command line
-
hf download hf://Elcaida/mismall/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Elcaida/mismall/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 675ce59351a377f92b1c189149d3e66ea67506f911b5743d592eb4a2e687c01c
- Size of remote file:
- 17.1 MB
- SHA256:
- 23ad081f384b2bdb3c97f6e5461dfce52c1174c7328854a55006988f0fef9da7
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