Instructions to use dgalik/emoBank_test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dgalik/emoBank_test3 with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForMultiOutputRegression tokenizer = AutoTokenizer.from_pretrained("dgalik/emoBank_test3") model = DistilBertForMultiOutputRegression.from_pretrained("dgalik/emoBank_test3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f07d2c5ea264f69d3445a6bf97445beebd2ef20a07a8fa9dc0f8387a656840bf
- Size of remote file:
- 3.96 kB
- SHA256:
- 70e6f21c1707e1645f4996a9aa24f2f8a09b309e57a3551db88fee945936c4dd
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