Instructions to use Buseak/spellcorrector_11_02_050_1_per_word with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/spellcorrector_11_02_050_1_per_word with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Buseak/spellcorrector_11_02_050_1_per_word", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Buseak/spellcorrector_11_02_050_1_per_word") model = AutoModelForTokenClassification.from_pretrained("Buseak/spellcorrector_11_02_050_1_per_word", device_map="auto") - Notebooks
- Google Colab
- Kaggle