Instructions to use YagiASAFAS/polibert-malaysia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YagiASAFAS/polibert-malaysia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YagiASAFAS/polibert-malaysia")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YagiASAFAS/polibert-malaysia") model = AutoModelForSequenceClassification.from_pretrained("YagiASAFAS/polibert-malaysia") - 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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version https://git-lfs.github.com/spec/v1
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oid sha256:6dfd824a59d80fc3260269e1d8731f3d33a834d2b4ca233355a23b514f812e64
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size 437990516
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