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:
- d8e604fbed3ac174f4d6e803accadb746d8b0f3415caa7b4edb29093db145570
- Size of remote file:
- 3.25 kB
- SHA256:
- ec8465741ff1b67c7be2ecd6d97168a4d86b064112b3eb5a3a6eae4b5efd1bf4
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