| input_ids = [0, 4, 4, 3, 2, 4, 1, 7, 19] | |
| The outputs of the following layers often consist of multi-dimensional float arrays and can look like this: | |
| [[ | |
| [-0.1465, -0.6501, 0.1993, , 0.1451, 0.3430, 0.6024], | |
| [-0.4417, -0.5920, 0.3450, , -0.3062, 0.6182, 0.7132], | |
| [-0.5009, -0.7122, 0.4548, , -0.3662, 0.6091, 0.7648], | |
| , | |
| [-0.5613, -0.6332, 0.4324, , -0.3792, 0.7372, 0.9288], | |
| [-0.5416, -0.6345, 0.4180, , -0.3564, 0.6992, 0.9191], | |
| [-0.5334, -0.6403, 0.4271, , -0.3339, 0.6533, 0.8694]]], | |
| We expect that every model added to 🤗 Transformers passes a couple of integration tests, meaning that the original | |
| model and the reimplemented version in 🤗 Transformers have to give the exact same output up to a precision of 0.001! |