Instructions to use Ahmad/parsT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmad/parsT5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ahmad/parsT5") model = AutoModelForSeq2SeqLM.from_pretrained("Ahmad/parsT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Ahmad/parsT5: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/Ahmad/parsT5/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Ahmad/parsT5/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Ahmad/parsT5/resolve/main/flax_model.msgpack
990 MB
- Xet hash:
- 73f369e7f5a13667c90cc1d838c992b5f9cc486846a7cd889f3b166f501e8036
- Size of remote file:
- 990 MB
- SHA256:
- 76fa30879447dbe4029e053f024d420a3e106ed5b89d04b28001981933b5425f
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