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
- Xet hash:
- 9a95a0a6758a01ef737d39dee3421fd795135e587aeaab40802be4639e47a0eb
- Size of remote file:
- 3.58 kB
- SHA256:
- d89f508ffe937d1cb76339688dff8138830fe24a391f02c2e56684f1a0452a1f
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