Instructions to use Buseak/spellcorrector_1709_v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/spellcorrector_1709_v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Buseak/spellcorrector_1709_v7")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Buseak/spellcorrector_1709_v7") model = AutoModelForTokenClassification.from_pretrained("Buseak/spellcorrector_1709_v7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 8
Browse files
pytorch_model.bin
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runs/Sep17_17-57-00_972cff44c241/events.out.tfevents.1694973425.972cff44c241.1186.0
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