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resume training option for custom language model
Is your feature/enhancement request related to a problem? Please describe. I did find a way to resume the training from stored checkpoint for the language model. Describe the solution you'd like In the language_model_trainer.py, there exist a static method for load_checkpoint which return the languageModelTrainer(loss,op_state_dict ,model etc). but this method is of no use further. also i added to the language_model_trainer.py another static method load_from_checkpoint() as described in the link https://github.com/flairNLP/flair/commit/c25c89f0a94c8c0879d052530502e60f3e8e421a but still i cannot use it as it pops up error saying module ot registered and if i pass the checkpoint to the langauageModelTrainer as its dict so i get error its not subscriptable.
Additional context Similar to NER model training resume logic in trainer.py ,is if possible to add code to the langauge_model_trainer.py.
Please let me know possibility and solutions so that i can add these code patches to enhance the resume training option in language model similar to NER model
regards, Pushpalatha M
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