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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 377b319d0f18c35295331a51237fcdfe1240050dff11c73a3c05d8a1461ddb14
- Size of remote file:
- 623 Bytes
- SHA256:
- 8e1f55a9cff375335b8a3d1f64299023e4e432c9f71e7c4f4e464f6876cbcb87
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