Instructions to use VGraf/mt_dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VGraf/mt_dpo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="VGraf/mt_dpo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("VGraf/mt_dpo") model = AutoModel.from_pretrained("VGraf/mt_dpo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32d0abcc36da9e88118a09ea124be6f02a60644cce435e772d57c3bcc0354189
- Size of remote file:
- 17.2 MB
- SHA256:
- 9400df98529060210393c40f08cb127f7c0df584338b3fbfdba8cf82a33c1ade
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