Instructions to use CLAck/indo-pure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLAck/indo-pure with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="CLAck/indo-pure")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CLAck/indo-pure") model = AutoModelForSeq2SeqLM.from_pretrained("CLAck/indo-pure") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e540de957942f545921c19b74e6a2560b7f0036cb892bdc26c093ae85fccbbed
- Size of remote file:
- 337 MB
- SHA256:
- e4c897e03ac2143621bb36f2ee6fcf0438be829a7835d723e75b7c9bff628802
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