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:
- e88ae283f4ba89ec2e85dd2ea57e612a2e0b2a943bbbeede02967e08a349bc9d
- Size of remote file:
- 4.99 GB
- SHA256:
- 6f675aba552735b1fa296cfd57f9d3b7f3d6c3c485ab9b8b71d9c9a6fe229d89
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