Instructions to use JeswinMS4/bert-base-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeswinMS4/bert-base-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeswinMS4/bert-base-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeswinMS4/bert-base-intent") model = AutoModelForSequenceClassification.from_pretrained("JeswinMS4/bert-base-intent") - 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:f23d23d2c3aa06d121668ac4e3df1710b63031b5b224a9ac8c88ac4b304d26ec
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size 437965908
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