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:
- 7c921e34ae3221b78fcb40bf604afda1db9aaa801735ceb505c9ad888ec94bb7
- Size of remote file:
- 4.6 kB
- SHA256:
- 8ecd79d92a7682790d9dd36499188ea5f62099f90cf3a51e9c2386bba01396f5
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