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
Upload model_quantized.onnx with huggingface_hub
Browse files- model_quantized.onnx +3 -0
model_quantized.onnx
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