Instructions to use Wikidepia/IndoT5-base-paraphrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wikidepia/IndoT5-base-paraphrase with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Wikidepia/IndoT5-base-paraphrase") model = AutoModelForSeq2SeqLM.from_pretrained("Wikidepia/IndoT5-base-paraphrase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Wikidepia/IndoT5-base-paraphrase: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/Wikidepia/IndoT5-base-paraphrase/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Wikidepia/IndoT5-base-paraphrase/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Wikidepia/IndoT5-base-paraphrase/resolve/main/flax_model.msgpack
990 MB
- Xet hash:
- 8dbfffabf29ce2b550ef529d2be7553f9eebba566375c6258d15b6d8171e01ae
- Size of remote file:
- 990 MB
- SHA256:
- c20a05415fa698acc43cb71431207b98352be03543d2549e297028ec384241fd
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