Text Classification
Transformers
PyTorch
TensorBoard
ONNX
Safetensors
Khmer
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use seanghay/khmer-text-classification-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seanghay/khmer-text-classification-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="seanghay/khmer-text-classification-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("seanghay/khmer-text-classification-roberta") model = AutoModelForSequenceClassification.from_pretrained("seanghay/khmer-text-classification-roberta") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:e9ca261cbd2091bf475b09a25218803789ab31b6aaf87b4e3bd93b8cd362fa61
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size 1112264584
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