Instructions to use dgalik/emoBank_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dgalik/emoBank_test2 with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForMultiOutputRegression tokenizer = AutoTokenizer.from_pretrained("dgalik/emoBank_test2") model = DistilBertForMultiOutputRegression.from_pretrained("dgalik/emoBank_test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ba5312ae877ca24b54e2b1e6fadbd05ff942c94f65ded22d1d940b532d229d2
- Size of remote file:
- 268 MB
- SHA256:
- b7c168c76b70656e3793ee806798925b794a348d95b2c2affc2af03a96751594
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.