Instructions to use EndLessTime/qwen1.8b_finetuned_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/qwen1.8b_finetuned_xsum with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/qwen1.8b_finetuned_xsum")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/qwen1.8b_finetuned_xsum") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/qwen1.8b_finetuned_xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b4211a0f7c114709f940aa9a979bdef6ac8c5f74c2079efe8016e28f5011104
- Size of remote file:
- 4.96 GB
- SHA256:
- a930b3e40e78e50dd2c38c35f57eb3cb2f3d37b8fed628afa2f951ea39fa9303
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