Instructions to use EndLessTime/fine_tuned_per_domain_balanced_moe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_per_domain_balanced_moe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_per_domain_balanced_moe")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_per_domain_balanced_moe") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_per_domain_balanced_moe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- affa7b083f2b6398959c3340b6009c9d0fa180f3d3d05d2f98d5d54fb2de7b59
- Size of remote file:
- 1.14 GB
- SHA256:
- 74e9fbda0980b30b87af9b46ea7a1524baa5590d86a2e740ed446e75cdeb4860
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