Instructions to use devanshrj/roberta-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devanshrj/roberta-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="devanshrj/roberta-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("devanshrj/roberta-ner") model = AutoModelForTokenClassification.from_pretrained("devanshrj/roberta-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b694c6e2673938641079eccbb312bdcbf68b9df98ececf7b243179c0a538021
- Size of remote file:
- 4.54 kB
- SHA256:
- a6f7c2c714567e02fc38181ea8a0ed01f6fb485e27dfe4a8c744bdeccc2f2cd9
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