Instructions to use LazarusNLP/indo-t5-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LazarusNLP/indo-t5-base-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LazarusNLP/indo-t5-base-v2") model = AutoModelForSeq2SeqLM.from_pretrained("LazarusNLP/indo-t5-base-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f79d8c9e087ee9b046acc7da7bee55a8f0a3d9ca0e976f9082845a103bd680e8
- Size of remote file:
- 2.33 GB
- SHA256:
- 81d69bd5c9a5ceb3fb9e6df6685c4f67d2e2c7160fb57c6206a57772d34fc40f
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