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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload model.onnx with huggingface_hub
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (87de69fb8a9f3a6384d5fa3f392533a020c05b04) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>aea2c01 -
Update README.md
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Update README.md
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update model card README.md
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End of training
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Training in progress, epoch 4
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Training in progress, epoch 3
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Training in progress, epoch 2
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Training in progress, epoch 1
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initial commit
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