Instructions to use MDDDDR/roberta_large_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MDDDDR/roberta_large_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MDDDDR/roberta_large_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MDDDDR/roberta_large_NER") model = AutoModelForTokenClassification.from_pretrained("MDDDDR/roberta_large_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6abd14b44c19bbbcee02db437389bd38cae90f15dbbe85e3c58dd287f6e643ca
- Size of remote file:
- 2.24 GB
- SHA256:
- c545404cc38f68b6be09628be04cd2657fbe1adca9076735cae90a5cf70ac117
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