Instructions to use nvidia/dragon-multiturn-context-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/dragon-multiturn-context-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nvidia/dragon-multiturn-context-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nvidia/dragon-multiturn-context-encoder") model = AutoModel.from_pretrained("nvidia/dragon-multiturn-context-encoder") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17014ad1e799ee62603a42d28d31b5d4420102e1e9cea8ded5be89ab79799556
- Size of remote file:
- 438 MB
- SHA256:
- dfae6270ccce58f9f1716fdb14a2656bf42eb96397d5de5336b7bebd710a6347
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