Instructions to use TRI-ML/DCLM-1B-IT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TRI-ML/DCLM-1B-IT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TRI-ML/DCLM-1B-IT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from TRI-ML/DCLM-1B-IT: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/TRI-ML/DCLM-1B-IT/resolve/main/tokenizer.json
- Command line
-
hf download hf://TRI-ML/DCLM-1B-IT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/TRI-ML/DCLM-1B-IT/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.