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clue/roberta_chinese_3L312_clue_tiny
roberta_chinese_3L312_clue_tiny is a machine learning model from clue. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This model was trained on TPU and the details are as follows:
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From the Hugging Face model README
This model was trained on TPU and the details are as follows:
| Model_name | params | size | Training_corpus | Vocab |
|---|---|---|---|---|
RoBERTa-tiny-clue <br/>Super_small_model | 7.5M | 28.3M | CLUECorpus2020 | CLUEVocab |
RoBERTa-tiny-pair <br/>Super_small_sentence_pair_model | 7.5M | 28.3M | CLUECorpus2020 | CLUEVocab |
RoBERTa-tiny3L768-clue <br/>small_model | 38M | 110M | CLUECorpus2020 | CLUEVocab |
RoBERTa-tiny3L312-clue <br/>small_model | <7.5M | 24M | CLUECorpus2020 | CLUEVocab |
RoBERTa-large-clue <br/> Large_model | 290M | 1.20G | CLUECorpus2020 | CLUEVocab |
RoBERTa-large-pair <br/>Large_sentence_pair_model | 290M | 1.20G | CLUECorpus2020 | CLUEVocab |
With the help ofHuggingface-Transformers 2.5.1, you could use these model as follows
tokenizer = BertTokenizer.from_pretrained("MODEL_NAME")
model = BertModel.from_pretrained("MODEL_NAME")
MODEL_NAME:
| Model_NAME | MODEL_LINK |
|---|---|
| RoBERTa-tiny-clue | clue/roberta_chinese_clue_tiny |
| RoBERTa-tiny-pair | clue/roberta_chinese_pair_tiny |
| RoBERTa-tiny3L768-clue | clue/roberta_chinese_3L768_clue_tiny |
| RoBERTa-tiny3L312-clue | clue/roberta_chinese_3L312_clue_tiny |
| RoBERTa-large-clue | clue/roberta_chinese_clue_large |
| RoBERTa-large-pair | clue/roberta_chinese_pair_large |
Please read <a href='https://arxiv.org/pdf/2003.01355'>https://arxiv.org/pdf/2003.01355.
Please visit our repository: https://github.com/CLUEbenchmark/CLUEPretrainedModels.git