Instructions to use Mongjin/time_memory_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mongjin/time_memory_model with Transformers:
# Load model directly from transformers import AutoTokenizer, BartForDialogueGeneration tokenizer = AutoTokenizer.from_pretrained("Mongjin/time_memory_model") model = BartForDialogueGeneration.from_pretrained("Mongjin/time_memory_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93670a3589a7cd354240c151ab9a0ce218cabe7cec1c525e3ece799f0a40a2c6
- Size of remote file:
- 991 MB
- SHA256:
- 1cdeb1243fbce7ba015f321c58c0b0fd05c03fdf96c0b9c0b54fddeb0e9ff29b
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