Instructions to use jaggernaut007/roberta-base-finetuned-abbr-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaggernaut007/roberta-base-finetuned-abbr-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jaggernaut007/roberta-base-finetuned-abbr-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jaggernaut007/roberta-base-finetuned-abbr-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("jaggernaut007/roberta-base-finetuned-abbr-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c550c677b1d407e66a408d051ae3f35b882579215184908f62a106884983591
- Size of remote file:
- 4.98 kB
- SHA256:
- 4cdd36fc71113cf9f1c9de3b8b14bc9da47c56089acce8e1d12798ac3b912576
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