
# bert-tiny-bahasa-cased-sentiment

Proof of concept of creating a sentiment analysis model with using
https://huggingface.co/malay-huggingface/bert-base-bahasa-cased as the base model.

Tokenizer is copied directly from https://huggingface.co/malay-huggingface/bert-base-bahasa-cased.

Sentiment analysis fine tuning was done with data compiled by [huseinzol05](https://github.com/huseinzol05/) at https://github.com/huseinzol05/malay-dataset/tree/master/sentiment.

{"language": ["ms", "en", "multilingual"], "license": "apache-2.0", "tags": ["text-classification", "sentiment-analysis"], "widget": [{"text": "Saya sangat gembira hari ini!"}]}
transformers tf bert text-classification sentiment-analysis ms en multilingual license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #bert #text-classification #sentiment-analysis #ms #en #multilingual #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


# bert-tiny-bahasa-cased-sentiment

Proof of concept of creating a sentiment analysis model with using
URL as the base model.

Tokenizer is copied directly from URL

Sentiment analysis fine tuning was done with data compiled by huseinzol05 at URL

# bert-tiny-bahasa-cased-sentiment

Proof of concept of creating a sentiment analysis model with using
URL as the base model.

Tokenizer is copied directly from URL

Sentiment analysis fine tuning was done with data compiled by huseinzol05 at URL
TAGS
#transformers #tf #bert #text-classification #sentiment-analysis #ms #en #multilingual #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # bert-tiny-bahasa-cased-sentiment

Proof of concept of creating a sentiment analysis model with using
URL as the base model.

Tokenizer is copied directly from URL

Sentiment analysis fine tuning was done with data compiled by huseinzol05 at URL
passage: TAGS
#transformers #tf #bert #text-classification #sentiment-analysis #ms #en #multilingual #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# bert-tiny-bahasa-cased-sentiment

Proof of concept of creating a sentiment analysis model with using
URL as the base model.

Tokenizer is copied directly from URL

Sentiment analysis fine tuning was done with data compiled by huseinzol05 at URL