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:
- 4d18ff1a4f17db6dea8e4bb02fbd6dae6bcd0b7b7531f9b30d33825316d8853c
- Size of remote file:
- 4.99 GB
- SHA256:
- 84ae8046cd8b640ccc4574301daa4094b28c5f3dc4e9c2d6661d9be0f05087db
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