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 pytorch_model.bin from knowledgator/gliformer-multi-base-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/knowledgator/gliformer-multi-base-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://knowledgator/gliformer-multi-base-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/knowledgator/gliformer-multi-base-v1/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- 673ec7c114612159267efd73b088109ea5062ef1bf5e113becb31e698117e978
- Size of remote file:
- 1.42 GB
- SHA256:
- 33d9777a356e9d8a20b792fcf96670b04e95608be278204ce5fe8f96255c1910
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