Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use afiqlol/Malay-Sentiment3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afiqlol/Malay-Sentiment3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="afiqlol/Malay-Sentiment3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("afiqlol/Malay-Sentiment3") model = AutoModelForSequenceClassification.from_pretrained("afiqlol/Malay-Sentiment3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5d0d3c21b2929cc9e62cd8f479bf30c3507a03881738babaa21ee2bf3f5e0eb
- Size of remote file:
- 1.11 GB
- SHA256:
- 1f30f1f4f4df449def925fb14c0d61e4ad4c91c8ae5944f604cb8fd8ae6a4c4c
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