Instructions to use auday/paraphraser_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use auday/paraphraser_model2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("auday/paraphraser_model2") model = AutoModelForSeq2SeqLM.from_pretrained("auday/paraphraser_model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from auday/paraphraser_model2: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/auday/paraphraser_model2/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://auday/paraphraser_model2/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/auday/paraphraser_model2/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- dd41fa234444a933be6f57062ce6c8d7961cc750c8975c86e83f4936dbb3d4f2
- Size of remote file:
- 892 MB
- SHA256:
- e9802bb15d57b5a7f74d02ba06f16694989397e8c838606806cf8d2fe3c026bb
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