Instructions to use Trappu/Nemo-Picaro-V2-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trappu/Nemo-Picaro-V2-adapters with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Trappu/Nemo-Picaro-V2-adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Trappu/Nemo-Picaro-V2-adapters: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Trappu/Nemo-Picaro-V2-adapters/resolve/main/tokenizer.json
- Command line
-
hf download hf://Trappu/Nemo-Picaro-V2-adapters/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Trappu/Nemo-Picaro-V2-adapters/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- e4d8fdb38232315bc7adf62585b9032042be295bfa08836288cff54bb157c0a2
- Size of remote file:
- 17.1 MB
- SHA256:
- 4b4c8fcd33487a449c07f423d47adb035bba8347ccf13eb074b4d1fef8acf919
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