Token Classification
Transformers
Safetensors
multilingual
xlm-roberta
ner
affiliation-parsing
organization-extraction
geoparsing
Instructions to use mdpi-ai/org-geo-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdpi-ai/org-geo-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mdpi-ai/org-geo-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mdpi-ai/org-geo-ner") model = AutoModelForTokenClassification.from_pretrained("mdpi-ai/org-geo-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mdpi-ai/org-geo-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/mdpi-ai/org-geo-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://mdpi-ai/org-geo-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mdpi-ai/org-geo-ner/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 0ea89a50addcf8259d511129e60d001550577038ecec0a060cbce13026da41bb
- Size of remote file:
- 5.84 kB
- SHA256:
- 8ed6b3dc911feb774fc191e414a9aad9c26da556088f80c0af02633397064e71
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