Comments (3)
hi julian,
thanks a lot for your response! this helped a lot and i could make it work!
from mlm-scoring.
hello there, since there has not been a response as of yet, i'd like to reinvoke this issue.
from mlm-scoring.
Hi Phillip, thanks for reaching out. If I understand correctly from this and your (indirect) private message, your model is still defined in Transformers; it's just one you trained yourself.
At least for Transformers v3, you can see in commit f33f240 how I added ALBERT support in response to issue #2 :
- Here is where support for a zoo model or local weights (via
--weights
) is added: https://github.com/awslabs/mlm-scoring/blob/master/src/mlm/models/__init__.py#L94-L102 - (Optional) Here is where I subclass ALBERT's masked LM head to improve memory use: https://github.com/awslabs/mlm-scoring/blob/master/src/mlm/models/bert.py#L195-L199
I have been on leave + working on other projects, but hope to revisit usability and a switch to v4 in Jan-Feb 2022.
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 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
- How to integrate this with MuRIL? HOT 2
- IndexError: too many indices for tensor of dimension 1 HOT 2
- Hardcoded GPU 0? HOT 2
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from mlm-scoring.