Instructions to use stuartmesham/deberta-large_spell_5k_4_p3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stuartmesham/deberta-large_spell_5k_4_p3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="stuartmesham/deberta-large_spell_5k_4_p3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("stuartmesham/deberta-large_spell_5k_4_p3") model = AutoModelForTokenClassification.from_pretrained("stuartmesham/deberta-large_spell_5k_4_p3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download inference_tweak_params.json from stuartmesham/deberta-large_spell_5k_4_p3: direct link, hf CLI and curl.
- Browser
- Download file 61 Bytes
-
https://huggingface.co/stuartmesham/deberta-large_spell_5k_4_p3/resolve/main/inference_tweak_params.json
- Command line
-
hf download hf://stuartmesham/deberta-large_spell_5k_4_p3/inference_tweak_params.json
-
curl -L -o inference_tweak_params.json https://huggingface.co/stuartmesham/deberta-large_spell_5k_4_p3/resolve/main/inference_tweak_params.json
61 Bytes
| {"min_error_probability": 0.64, "additional_confidence": 0.0} |