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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress, epoch 2, checkpoint
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Training in progress, epoch 2
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Training in progress, epoch 1, checkpoint
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Training in progress, epoch 1
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initial commit
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