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
| { | |
| "_commit_hash": null, | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "max_length": null, | |
| "max_pixels": 23000000, | |
| "min_pixels": 200704, | |
| "model_max_length": 131072, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "<|endoftext|>", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "processor_class": "Qwen2_5_VLProcessor", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |