Instructions to use madatnlp/km-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madatnlp/km-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="madatnlp/km-bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("madatnlp/km-bert") model = AutoModel.from_pretrained("madatnlp/km-bert") - 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:aa940df7e6412dacd9f65f6e9e73a2e677d7b7b99ff1c14fe4bdadc80049cd39
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size 394646400
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