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:
- d810b52b3a2bf034c8343432663e2aaee98814582d3717fa20bcdee04c031053
- Size of remote file:
- 4.99 GB
- SHA256:
- 7d38121cb1d24e44e400cc5334268364e80cdbbc6c2b8eef83d43af81f4dd825
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