Timeline for Which is the difference between the two Greek BERT models?
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 27, 2022 at 16:48 | comment | added | Oxbowerce | The first model simply returns the last hidden state from the model, the second one returns the scores for each token in the vocabulary. | |
| Mar 26, 2022 at 18:42 | vote | accept | John Smith | ||
| Mar 26, 2022 at 18:41 | comment | added | John Smith | Thank you so much for your answer. So If I want to finetune the bert model for a classification task which model should I use? From your answer I think these are the same models where if I use the first one (AutoModel.from_pretrained) I must construct the classification layer, while if I use the second one (AutoModelWithLMHead) there is a function for the classification task. Is that right? | |
| Mar 26, 2022 at 17:53 | history | answered | Oxbowerce | CC BY-SA 4.0 |