Instructions to use fiveflow/kbbd-doc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fiveflow/kbbd-doc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fiveflow/kbbd-doc")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("fiveflow/kbbd-doc") model = AutoModel.from_pretrained("fiveflow/kbbd-doc") - 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:d5decb3d78b5ad6985574b63aa0e7af804ff70638c3f94a3cd060c67c56b0ec7
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size 455070656
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