Instructions to use EndLessTime/qwen1.8b_finetuned_roct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/qwen1.8b_finetuned_roct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/qwen1.8b_finetuned_roct")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/qwen1.8b_finetuned_roct") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/qwen1.8b_finetuned_roct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97dd9d9248ec5837c8672a8c0a0113d2f340551912e6bd686c76b2faf29a6208
- Size of remote file:
- 4.96 GB
- SHA256:
- 73e9a44095cf04baa945e37bb87c12dbbbe47fea30da2771366445cd1523671f
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