Transformers
TensorBoard
Safetensors
t5
text2text-generation
Trained with AutoTrain
text-generation-inference
Instructions to use edithram23/Paraphrase-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edithram23/Paraphrase-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("edithram23/Paraphrase-v3") model = AutoModelForSeq2SeqLM.from_pretrained("edithram23/Paraphrase-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from edithram23/Paraphrase-v3: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/edithram23/Paraphrase-v3/resolve/main/training_args.bin
- Command line
-
hf download hf://edithram23/Paraphrase-v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/edithram23/Paraphrase-v3/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 39266c0b172986858cc0b25cb016d3d81870c69fa168d5c8a6a56b7cbb51b631
- Size of remote file:
- 5.24 kB
- SHA256:
- 0f2a14c54a0c90f26443d1d1b59b9d8a7df13ab62fc508021d2d51df906f5bf4
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