Instructions to use Randomtalks/dome with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Randomtalks/dome with Transformers:
# Load model directly from transformers import AutoTokenizer, DOMEBertForClassification tokenizer = AutoTokenizer.from_pretrained("Randomtalks/dome") model = DOMEBertForClassification.from_pretrained("Randomtalks/dome") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c22163b4a75d5a7145febef3583bc60e11e4d49bbf341d32178d9f434734ae9
- Size of remote file:
- 499 MB
- SHA256:
- f045aba0a263d2bc109af9476b5673fb666b2e716de91698a6b639505668cb19
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