Token Classification
Transformers
TensorBoard
ONNX
Safetensors
PyTorch
English
roberta
RobertaForTokenClassification
named-entity-recognition
roberta-base
Generated from Trainer
Instructions to use pitangent-ds/roberta-base-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pitangent-ds/roberta-base-ontonotes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pitangent-ds/roberta-base-ontonotes")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pitangent-ds/roberta-base-ontonotes") model = AutoModelForTokenClassification.from_pretrained("pitangent-ds/roberta-base-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 144be927c484292c2102b6fc117cfe49bc316172e795b738e2b5bd3d0aa1c53f
- Size of remote file:
- 4.73 kB
- SHA256:
- 2f987dc33457fce4f55e8d6a4c10621153de07726425889ff9502c861b84f582
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