Comments (1)
Here is an example: https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis
You can fine-tune bertweet for sentiment classification as in: https://github.com/huggingface/transformers/tree/v4.34.1/examples/pytorch/text-classification
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Related Issues (20)
- Can't load Tokenizer HOT 1
- Some emojis not tokenized properly HOT 5
- using model for local tweets author prediction HOT 1
- What are pre-processing steps applied HOT 1
- Use model output for sentiment classifcation HOT 2
- AutoTokenizer gives error HOT 1
- Using with BERTweet with Farm HOT 1
- Applying Bertweet to a huge pandas dataframe HOT 1
- Reproducing the POS Tagger Results using Huggingface Tokenizer Offsets HOT 2
- How to get the dependency parsing result using BERTweet HOT 1
- Preprocessing of tweets HOT 1
- What is the masked token in BERTweet? HOT 1
- Question about normalization=True HOT 1
- Truncated Tweets from Archive Team Tweet Stream HOT 1
- About the tokenizer for Bertweet-Large HOT 1
- next sentence prediction HOT 1
- vinai/bertweet-large returns LABEL_0 all the time HOT 1
- Tokenizer vinai/bertweet-covid19-base-uncased HOT 3
- IndexError: index out of range in self HOT 2
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