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:
- d8a1bf3866acaeec70b108f8fcc174b5a8545ab939c5a9d3c311a962aa3ffdfb
- Size of remote file:
- 7 kB
- SHA256:
- ed5987531abc6da57a5e513db6ad3e0dc56936b958a021eb7777419c774170e4
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