Instructions to use enesyila/ota-roberta-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enesyila/ota-roberta-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="enesyila/ota-roberta-base-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("enesyila/ota-roberta-base-ner") model = AutoModelForTokenClassification.from_pretrained("enesyila/ota-roberta-base-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bbbb4aa8bf9d1c058d47723f442e991272cba2a9fd085dfdf67a394d2e50105
- Size of remote file:
- 5.3 kB
- SHA256:
- e88474ffa1c34d11a499ee74c41e0b3767a0115925c5895c35cb995f8471bc53
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