Comments (2)
Yes,, I was able to merge the MuRIL model here using https://huggingface.co/monsoon-nlp/muril-adapted-local)Thanks !
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There are two ways to go about this:
- Perhaps check out the model zoo in huggingface. From a cursory search, there seems to be a model uploaded for MuRIL cased: https://huggingface.co/simran-kh/muril-cased-temp/tree/main
- You can convert Tensorflow parameters to Torch and directly load them into your instantiated BERT encoder: https://huggingface.co/transformers/v1.0.0/converting_tensorflow_models.html
from mlm-scoring.
Related Issues (20)
- if apply domain MLM-finetuning for rescoring HOT 1
- Update to transformers 4.x HOT 3
- ValueError: Model 'BertForMaskedLMOptimized' is not supported by the scorer 'RegressionFinetuner'. HOT 1
- ERROR: No matching distribution found for mxnet-mkl HOT 4
- Where is vocab file?
- Where is vocab file?
- how to integrate models not available via huggingface or gluon? HOT 3
- How to Compute Perplexity of a Sentence HOT 2
- "NotImplementedError" When trying to fine-tune any bert model
- PyTorch models HOT 3
- can I train new LM from scratch with hugging face roberta then use mlm scoring? HOT 1
- Can't load tokenizer for 'xlm-roberta-large' HOT 1
- Help for Distil Roberta
- Using mlm-scoring with other public PyTorch RoBERTa model
- Understanding runtimes of different models HOT 1
- Increasing batch size when using command-line mlm score HOT 1
- xlm-roberta example? HOT 2
- IndexError: too many indices for tensor of dimension 1 HOT 2
- Hardcoded GPU 0? HOT 2
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