Text Generation
LiteRT
LiteRT
qwen2_vl
litertlm
qwen2-vl
information-extraction
knowledge-graph
on-device
edge-ai
conversational
Instructions to use technotic/NuExtract-2.0-2B-TKG-Triples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use technotic/NuExtract-2.0-2B-TKG-Triples with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from technotic/NuExtract-2.0-2B-TKG-Triples: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/technotic/NuExtract-2.0-2B-TKG-Triples/resolve/main/tokenizer.json
- Command line
-
hf download hf://technotic/NuExtract-2.0-2B-TKG-Triples/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/technotic/NuExtract-2.0-2B-TKG-Triples/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 141fc7716cc8895c641521b2413b837be4a2d7ee99830a3cd7cadd3b7b6f4e37
- Size of remote file:
- 11.4 MB
- SHA256:
- 1a7aabe7a3b44651592a99607bb33066e6965260336be9218cccd53af161491d
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