A simple spell checker built using T5-Base transformer. To use this model
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Bhuvana/t5-base-spellchecker")
model = AutoModelForSeq2SeqLM.from_pretrained("Bhuvana/t5-base-spellchecker")
def correct(inputs):
input_ids = tokenizer.encode(inputs,return_tensors='pt')
sample_output = model.generate(
input_ids,
do_sample=True,
max_length=50,
top_p=0.99,
num_return_sequences=1
)
res = tokenizer.decode(sample_output[0], skip_special_tokens=True)
return res
text = "christmas is celbrated on decembr 25 evry ear"
print(correct(text))
This should print the corrected statement
christmas is celebrated on december 25 every year
You can also type the text under the Hosted inference API and get predictions online.
Runs of Bhuvana t5-base-spellchecker on huggingface.co
146
Total runs
17
24-hour runs
14
3-day runs
19
7-day runs
45
30-day runs
More Information About t5-base-spellchecker huggingface.co Model
t5-base-spellchecker huggingface.co
t5-base-spellchecker huggingface.co is an AI model on huggingface.co that provides t5-base-spellchecker's model effect (), which can be used instantly with this Bhuvana t5-base-spellchecker model. huggingface.co supports a free trial of the t5-base-spellchecker model, and also provides paid use of the t5-base-spellchecker. Support call t5-base-spellchecker model through api, including Node.js, Python, http.
t5-base-spellchecker huggingface.co is an online trial and call api platform, which integrates t5-base-spellchecker's modeling effects, including api services, and provides a free online trial of t5-base-spellchecker, you can try t5-base-spellchecker online for free by clicking the link below.
Bhuvana t5-base-spellchecker online free url in huggingface.co:
t5-base-spellchecker is an open source model from GitHub that offers a free installation service, and any user can find t5-base-spellchecker on GitHub to install. At the same time, huggingface.co provides the effect of t5-base-spellchecker install, users can directly use t5-base-spellchecker installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
t5-base-spellchecker install url in huggingface.co: