Instructions to use apwic/nerui-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apwic/nerui-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="apwic/nerui-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("apwic/nerui-base") model = AutoModelForTokenClassification.from_pretrained("apwic/nerui-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from apwic/nerui-base: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/apwic/nerui-base/resolve/main/training_args.bin
- Command line
-
hf download hf://apwic/nerui-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/apwic/nerui-base/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- de72319b5f724695e868574a25c25ecac897f289ad2b94d60b2cb163fa458133
- Size of remote file:
- 4.98 kB
- SHA256:
- 7415eb1623c0b4b3913bce48d0c2adc6461dd60d02722487f3c4afc2a4df41c5
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