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:
- 7d943187e7829c9d92be64b0f608ca6aa6a11645152c6616b72968c7e927ff1f
- Size of remote file:
- 4.73 kB
- SHA256:
- 98a0b7a639a9af7a15d4b431bdf1e55ca4e2b61add9e2e9fda3c26f20efc635b
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