Instructions to use LiefOlsonMd/deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiefOlsonMd/deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="LiefOlsonMd/deberta-v3-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LiefOlsonMd/deberta-v3-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from LiefOlsonMd/deberta-v3-base: direct link, hf CLI and curl.
- Browser
- Download file 52 Bytes
-
https://huggingface.co/LiefOlsonMd/deberta-v3-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://LiefOlsonMd/deberta-v3-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/LiefOlsonMd/deberta-v3-base/resolve/main/tokenizer_config.json
52 Bytes
| { | |
| "do_lower_case": false, | |
| "vocab_type": "spm" | |
| } | |