Instructions to use AnnaCarson/roberta-base-ner-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnnaCarson/roberta-base-ner-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AnnaCarson/roberta-base-ner-demo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AnnaCarson/roberta-base-ner-demo") model = AutoModelForTokenClassification.from_pretrained("AnnaCarson/roberta-base-ner-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AnnaCarson/roberta-base-ner-demo: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/AnnaCarson/roberta-base-ner-demo/resolve/main/training_args.bin
- Command line
-
hf download hf://AnnaCarson/roberta-base-ner-demo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AnnaCarson/roberta-base-ner-demo/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 266c3a3e960dde0ab10ab37e321487a0e29ad4a706f8f9c7f3962f27f2b2b660
- Size of remote file:
- 5.05 kB
- SHA256:
- 3a26645e9db4ab2cc7142fc21a95892ef656373b164b0229a4f90089680ca775
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