Instructions to use quip-ai/beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use quip-ai/beta with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("knkarthick/meeting-summary-samsum") model.load_adapter("quip-ai/beta", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download head_config.json from quip-ai/beta: direct link, hf CLI and curl.
- Browser
- Download file 300 Bytes
-
https://huggingface.co/quip-ai/beta/resolve/main/head_config.json
- Command line
-
hf download hf://quip-ai/beta/head_config.json
-
curl -L -o head_config.json https://huggingface.co/quip-ai/beta/resolve/main/head_config.json
300 Bytes
| { | |
| "config": null, | |
| "hidden_size": 1024, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2 | |
| }, | |
| "model_class": "BartForConditionalGeneration", | |
| "model_name": "knkarthick/meeting-summary-samsum", | |
| "model_type": "bart", | |
| "name": null, | |
| "num_labels": 3, | |
| "version": "3.2.1" | |
| } |