Instructions to use auday/paraphraser_model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use auday/paraphraser_model1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("auday/paraphraser_model1") model = AutoModelForSeq2SeqLM.from_pretrained("auday/paraphraser_model1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from auday/paraphraser_model1: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/auday/paraphraser_model1/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://auday/paraphraser_model1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/auday/paraphraser_model1/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- 17e681f5913659827ebec2c1e514c17afa2cb71e11a5cd5f004bf51ff80dfa98
- Size of remote file:
- 892 MB
- SHA256:
- c255e985fd7510ca98032a3a62b91159374a94a27e505168ed4aae3a8040b8e1
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