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
Training in progress, step 3500
Browse files
pytorch_model.bin
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runs/Apr14_06-08-36_a34af5cd0d47/events.out.tfevents.1681452530.a34af5cd0d47.227.0
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