Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
Khmer
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use seanghay/khmer-pos-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seanghay/khmer-pos-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="seanghay/khmer-pos-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("seanghay/khmer-pos-roberta") model = AutoModelForTokenClassification.from_pretrained("seanghay/khmer-pos-roberta") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened almost 3 years ago
by
librarian-bot