Instructions to use ACCORD-NLP/ner-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACCORD-NLP/ner-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ACCORD-NLP/ner-roberta-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ACCORD-NLP/ner-roberta-large") model = AutoModelForTokenClassification.from_pretrained("ACCORD-NLP/ner-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ACCORD-NLP/ner-roberta-large: direct link, hf CLI and curl.
- Browser
- Download file 2.83 GB
-
https://huggingface.co/ACCORD-NLP/ner-roberta-large/resolve/refs%2Fpr%2F2/optimizer.pt
- Command line
-
hf download hf://ACCORD-NLP/ner-roberta-large@refs/pr/2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ACCORD-NLP/ner-roberta-large/resolve/refs%2Fpr%2F2/optimizer.pt
2.83 GB
- Xet hash:
- d0866cef5183e6850bf38cdf9091990acfd91bea9b8246cf5857a055f0dc20b2
- Size of remote file:
- 2.83 GB
- SHA256:
- 37274cb503aa22daab00331f578fec431f1136a812d315298f932ccf1e6088c0
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