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:
- 4283bab927f8104f87d995bc237b6d4825c24a0e24ded867970d0178043f66ef
- Size of remote file:
- 1.15 GB
- SHA256:
- 7014eb5d732494dcc9cae9fd0ce084aa13ab827421fa61aa26ab6d462759ab2d
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