Instructions to use bobox/DeBERTaV3-small-GeneralSentenceTransformer-keepTraining-checkpoints-tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bobox/DeBERTaV3-small-GeneralSentenceTransformer-keepTraining-checkpoints-tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bobox/DeBERTaV3-small-GeneralSentenceTransformer-keepTraining-checkpoints-tmp")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bobox/DeBERTaV3-small-GeneralSentenceTransformer-keepTraining-checkpoints-tmp") model = AutoModel.from_pretrained("bobox/DeBERTaV3-small-GeneralSentenceTransformer-keepTraining-checkpoints-tmp") - 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 sha256:658840df6d40ff576201b06338b413b7cd45a33b6055b55d532d680b0168b2da
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size 565228888
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