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 modules.json from utahnlp/laconic-8b: direct link, hf CLI and curl.
- Browser
- Download file 290 Bytes
-
https://huggingface.co/utahnlp/laconic-8b/resolve/refs%2Fpr%2F1/modules.json
- Command line
-
hf download hf://utahnlp/laconic-8b@refs/pr/1/modules.json
-
curl -L -o modules.json https://huggingface.co/utahnlp/laconic-8b/resolve/refs%2Fpr%2F1/modules.json
290 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.base.modules.transformer.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_SpladePooling", | |
| "type": "sentence_transformers.sparse_encoder.modules.splade_pooling.SpladePooling" | |
| } | |
| ] |