Token Classification
GLiFormer
PyTorch
English
deberta
named-entity-recognition
text-classification
relation-extraction
structured-extraction
feature-extraction
document-understanding
Instructions to use knowledgator/gliformer-multi-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiFormer
How to use knowledgator/gliformer-multi-base-v1 with GLiFormer:
# 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 knowledgator/gliformer-multi-base-v1: direct link, hf CLI and curl.
- Browser
- Download file 16 MB
-
https://huggingface.co/knowledgator/gliformer-multi-base-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://knowledgator/gliformer-multi-base-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/knowledgator/gliformer-multi-base-v1/resolve/main/tokenizer.json
16 MB
- Xet hash:
- 0a976c9f92d9e12cea4f034acf79d1187800d4e119abf88544f2ea8a762f2d96
- Size of remote file:
- 16 MB
- SHA256:
- a1e6102a4cf99ee3ab99ae1063348a58bc671f6c665aaa4bea67e2312a374549
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