Instructions to use siRendy/tes-model-baru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use siRendy/tes-model-baru with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("siRendy/tes-model-baru") model = AutoModelForSeq2SeqLM.from_pretrained("siRendy/tes-model-baru") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4ab0a4212e0181ea5d9385b94d83ab833f206d035992cb6fd099c927505c464
- Size of remote file:
- 5.39 kB
- SHA256:
- 4cf2c972067df81ade27dd708d2fdfdc6bb494fa620fc2c7aa2e687aff564fd4
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