Instructions to use duraad/nep-spell-mt5-small-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duraad/nep-spell-mt5-small-0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("duraad/nep-spell-mt5-small-0") model = AutoModelForSeq2SeqLM.from_pretrained("duraad/nep-spell-mt5-small-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e013161abdaab7ee3bd4e151cafe4dc0c19ae1326d2c451b37467bf37163acba
- Size of remote file:
- 4.86 kB
- SHA256:
- c3e66c550aa0115657a0eeb8f5ebb68f5e78abd8d238e42899fb9e4dc7ce276c
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