Instructions to use Buseak/spell_corrector_small_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/spell_corrector_small_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Buseak/spell_corrector_small_v2") model = AutoModelForSeq2SeqLM.from_pretrained("Buseak/spell_corrector_small_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b77344279db84b8038b06c033c2ec16ed3004f1b5ed665f8af9180de6569c9ef
- Size of remote file:
- 16.3 MB
- SHA256:
- db89e268649033b2f206501b13ff4b4edb14f23e84934fb956db725fcacdead8
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