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:
- 50bdfbfd36c916907ae441a452ac5e8727ca313b4c77242aed24be936cde8491
- Size of remote file:
- 3.96 kB
- SHA256:
- 12db6ed75bd099ad15b31303f358bc201a04173782d88f14a5e5de5e3a525792
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.