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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdfcce64e4686da71b441077d1c3a79e539f0a0f1b1059928740a20461d0763e
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size 944664104
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