Instructions to use utahnlp/laconic-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utahnlp/laconic-8b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, LlamaBiForMNTP tokenizer = AutoTokenizer.from_pretrained("utahnlp/laconic-8b") model = LlamaBiForMNTP.from_pretrained("utahnlp/laconic-8b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 1_SpladePooling/config.json from utahnlp/laconic-8b: direct link, hf CLI and curl.
- Browser
- Download file 103 Bytes
-
https://huggingface.co/utahnlp/laconic-8b/resolve/refs%2Fpr%2F1/1_SpladePooling/config.json
- Command line
-
hf download hf://utahnlp/laconic-8b@refs/pr/1/1_SpladePooling/config.json
-
curl -L -o config.json https://huggingface.co/utahnlp/laconic-8b/resolve/refs%2Fpr%2F1/1_SpladePooling/config.json
103 Bytes
| { | |
| "pooling_strategy": "max", | |
| "activation_function": "relu", | |
| "embedding_dimension": 128256 | |
| } |