Instructions to use orkg/orkgnlp-agri-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orkg/orkgnlp-agri-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="orkg/orkgnlp-agri-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("orkg/orkgnlp-agri-ner") model = AutoModelForTokenClassification.from_pretrained("orkg/orkgnlp-agri-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from orkg/orkgnlp-agri-ner: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/orkg/orkgnlp-agri-ner/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://orkg/orkgnlp-agri-ner/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/orkg/orkgnlp-agri-ner/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- b8fa01522c7eeebf5da2f0cf60d8e461802d1996cf7d5f21eb1bfd26d5146304
- Size of remote file:
- 431 MB
- SHA256:
- a6b2c131439b2daf9e0e57d7a158ddd0eb0a2d429569d478948a128e4758fa82
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