Instructions to use dipesh/Intent-Classification-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipesh/Intent-Classification-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipesh/Intent-Classification-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipesh/Intent-Classification-small") model = AutoModelForSequenceClassification.from_pretrained("dipesh/Intent-Classification-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
pytorch_model.bin
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runs/Jan27_22-09-59_d4d9bbc57121/events.out.tfevents.1674857411.d4d9bbc57121.14700.0
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