GitHub - TranQuocTrinh/huggingface-transformers-examples: Fine-tuning (or training from scratch) the library models for language modeling on a text dataset for GPT, GPT-2, ALBERT, BERT, DitilBERT, RoBERTa, XLNet... GPT and GPT-2 are trained or fine-tuned using a causal language modeling (CLM) loss while ALBERT, BERT, DistilBERT and RoBERTa are trained or fine-tuned using a masked language modeling (MLM) loss.

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Fine-tuning (or training from scratch) the library models for language modeling on a text dataset for GPT, GPT-2, ALBERT, BERT, DitilBERT, RoBERTa, XLNet... GPT and GPT-2 are trained or fine-tuned using a causal language modeling (CLM) loss while ALBERT, BERT, DistilBERT and RoBERTa are trained or fine-tuned using a masked language modeling (MLM…

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
seq2seq		seq2seq
t5encoder_classification		t5encoder_classification
tabular_classification		tabular_classification
text_classification		text_classification
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md