# XLM-RoBERTA-large-twitter

This is a XLM-RoBERTa-large model tuned on a corpus of over 156 million tweets in ten languages: English, Spanish, Italian, Portuguese, French, Chinese, Hindi, Arabic, Dutch and Korean.
The model has been trained from the original XLM-RoBERTA-large checkpoint for 2 epochs with a batch size of 1024.

For best results, preprocess the tweets using the following method before passing them to the model:
```python
def preprocess(text):
    new_text = []
    for t in text.split(" "):
        t = '@user' if t.startswith('@') and len(t) > 1 else t
        t = 'http' if t.startswith('http') else t
        new_text.append(t)
    return " ".join(new_text)
```
{"language": ["en", "es", "it", "pt", "fr", "zh", "hi", "ar", "nl", "ko"], "license": "mit", "tags": ["twitter"], "pipeline_tag": "fill-mask"}
transformers pytorch safetensors xlm-roberta fill-mask twitter en es it pt fr zh hi ar nl ko license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #xlm-roberta #fill-mask #twitter #en #es #it #pt #fr #zh #hi #ar #nl #ko #license-mit #autotrain_compatible #endpoints_compatible #region-us 

# XLM-RoBERTA-large-twitter

This is a XLM-RoBERTa-large model tuned on a corpus of over 156 million tweets in ten languages: English, Spanish, Italian, Portuguese, French, Chinese, Hindi, Arabic, Dutch and Korean.
The model has been trained from the original XLM-RoBERTA-large checkpoint for 2 epochs with a batch size of 1024.

For best results, preprocess the tweets using the following method before passing them to the model:

# XLM-RoBERTA-large-twitter

This is a XLM-RoBERTa-large model tuned on a corpus of over 156 million tweets in ten languages: English, Spanish, Italian, Portuguese, French, Chinese, Hindi, Arabic, Dutch and Korean.
The model has been trained from the original XLM-RoBERTA-large checkpoint for 2 epochs with a batch size of 1024.

For best results, preprocess the tweets using the following method before passing them to the model:
TAGS
#transformers #pytorch #safetensors #xlm-roberta #fill-mask #twitter #en #es #it #pt #fr #zh #hi #ar #nl #ko #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # XLM-RoBERTA-large-twitter

This is a XLM-RoBERTa-large model tuned on a corpus of over 156 million tweets in ten languages: English, Spanish, Italian, Portuguese, French, Chinese, Hindi, Arabic, Dutch and Korean.
The model has been trained from the original XLM-RoBERTA-large checkpoint for 2 epochs with a batch size of 1024.

For best results, preprocess the tweets using the following method before passing them to the model:
TAGS
#transformers #pytorch #safetensors #xlm-roberta #fill-mask #twitter #en #es #it #pt #fr #zh #hi #ar #nl #ko #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# XLM-RoBERTA-large-twitter

This is a XLM-RoBERTa-large model tuned on a corpus of over 156 million tweets in ten languages: English, Spanish, Italian, Portuguese, French, Chinese, Hindi, Arabic, Dutch and Korean.
The model has been trained from the original XLM-RoBERTA-large checkpoint for 2 epochs with a batch size of 1024.

For best results, preprocess the tweets using the following method before passing them to the model: