Instructions to use Singhoo/denosent-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Singhoo/denosent-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Singhoo/denosent-bert-base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Singhoo/denosent-bert-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9711c694748bf9e7f450d77f18daf40fdfd1481591fec63f4a46f6f2caff100b
- Size of remote file:
- 945 MB
- SHA256:
- 4d2937e12664fff3bb08a4666bc28a2fb881a49e219e3432314f23c886e76a99
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