Instructions to use travistest/nemo-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use travistest/nemo-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("travistest/nemo-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from travistest/nemo-v1: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/travistest/nemo-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://travistest/nemo-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/travistest/nemo-v1/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 32569e44702186b12870b6b1de657b222323b32cad882ab71cf35b8e50e31325
- Size of remote file:
- 17.1 MB
- SHA256:
- 623c34567aebb18582765289fbe23d901c62704d6518d71866e0e58db892b5b7
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