# Italian Contextual Spellchecker

The model is a fine-tuned version of [IT5](https://huggingface.co/models?search=it5)[1], specifically modelled for computing a spellchecking in the shape of a sequence-to-sequence task.

### USAGE

The input sequence should have the structure <b>seq: <i>your text</i>.</b>. Missing the seq token at the beginning or the final punctuation mark may lead to bad performances.
{"language": ["it"], "license": "mit", "tags": ["seq2seq"]}
transformers pytorch t5 text2text-generation seq2seq it license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #seq2seq #it #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

# Italian Contextual Spellchecker

The model is a fine-tuned version of IT5[1], specifically modelled for computing a spellchecking in the shape of a sequence-to-sequence task.

### USAGE

The input sequence should have the structure <b>seq: <i>your text</i>.</b>. Missing the seq token at the beginning or the final punctuation mark may lead to bad performances.
# Italian Contextual Spellchecker

The model is a fine-tuned version of IT5[1], specifically modelled for computing a spellchecking in the shape of a sequence-to-sequence task. ### USAGE

The input sequence should have the structure <b>seq: <i>your text</i>.</b>. Missing the seq token at the beginning or the final punctuation mark may lead to bad performances.
TAGS
#transformers #pytorch #t5 #text2text-generation #seq2seq #it #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Italian Contextual Spellchecker

The model is a fine-tuned version of IT5[1], specifically modelled for computing a spellchecking in the shape of a sequence-to-sequence task. ### USAGE

The input sequence should have the structure <b>seq: <i>your text</i>.</b>. Missing the seq token at the beginning or the final punctuation mark may lead to bad performances.
passage: TAGS
#transformers #pytorch #t5 #text2text-generation #seq2seq #it #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Italian Contextual Spellchecker

The model is a fine-tuned version of IT5[1], specifically modelled for computing a spellchecking in the shape of a sequence-to-sequence task.### USAGE

The input sequence should have the structure <b>seq: <i>your text</i>.</b>. Missing the seq token at the beginning or the final punctuation mark may lead to bad performances.