Instructions to use codefactory4791/intent-classification-qwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codefactory4791/intent-classification-qwen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codefactory4791/intent-classification-qwen")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("codefactory4791/intent-classification-qwen") model = AutoModelForSequenceClassification.from_pretrained("codefactory4791/intent-classification-qwen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a213df6c71c01530465088ed9b12c2727064e4bc1ea3c60853032d5624229a26
- Size of remote file:
- 1.98 GB
- SHA256:
- 303d956ab2f90a00ebc2c44d2cca6685386d65e0b2d4ec689fd9203d66989ef4
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