Comments (2)
좀 더 찾아보고 다른 방법도 고안해보겠습니다. 빠른 답변 감사합니다!
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언급하신 이슈가 발생한 정확한 원인, 과정을 알수 없어 정확한 답변을 드리긴 어려울꺼 같습니다.
vocab size에 맞춰서 변경하고 싶다면 model.resize_token_embeddings
를 사용하시면 될 것 같습니다.
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Related Issues (20)
- base 버전의 tensorflow1 checkpoint 에러 HOT 4
- vocab, [unused] token에 대하여 HOT 3
- 단일 GPU 사전학습 이슈 HOT 3
- 추가학습 관련 질문드립니다. HOT 4
- Finetuning 에 대해서 질문드립니다. HOT 4
- Pretrain된 모델의 weight loading 이슈 HOT 5
- 멀티 클래스 repo HOT 5
- Fine-tuning 관련 질문 ( XLM-RoBERT-large 추가 ) HOT 5
- TFRecord 용량 문의 HOT 2
- hugging face 모델 로드 관련. HOT 7
- ElectraForSequenceClassification 사용시 트레이닝 질문
- vocab 생성 문의 HOT 2
- 전처리 관련 문의 HOT 4
- 사전학습 모델 파일 문의 HOT 2
- 모델 로딩 warning 질문 HOT 2
- [ max_length ] 512가 최대인데 텍스트가 최대를 넘을 경우
- vocab 생성관련 mecab pretokenize 방식
- maximum sequence length HOT 2
- WordPiece Vocabulary 예제 코드 에러 HOT 2
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