Instructions to use citruschao/bert_edit_intent_classification1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use citruschao/bert_edit_intent_classification1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="citruschao/bert_edit_intent_classification1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("citruschao/bert_edit_intent_classification1") model = AutoModelForSequenceClassification.from_pretrained("citruschao/bert_edit_intent_classification1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:186342e83cf3ec6b45bbdf92aa96da3d4ac7d2eb7c1c7c4f7ef3f5e24f8f6a01
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size 437975136
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