Instructions to use beva/detoxify_heb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beva/detoxify_heb with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beva/detoxify_heb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from beva/detoxify_heb: direct link, hf CLI and curl.
- Browser
- Download file 94 Bytes
-
https://huggingface.co/beva/detoxify_heb/resolve/main/config.json
- Command line
-
hf download hf://beva/detoxify_heb/config.json
-
curl -L -o config.json https://huggingface.co/beva/detoxify_heb/resolve/main/config.json
94 Bytes
| { | |
| "model_type": "bert", | |
| "model_name": "detoxify_heb", | |
| "tokenizer_name": "detoxify_heb" | |
| } |