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 opt_state.msgpack from Ahmad/parsT5: direct link, hf CLI and curl.
- Browser
- Download file 2.18 MB
-
https://huggingface.co/Ahmad/parsT5/resolve/main/opt_state.msgpack
- Command line
-
hf download hf://Ahmad/parsT5/opt_state.msgpack
-
curl -L -o opt_state.msgpack https://huggingface.co/Ahmad/parsT5/resolve/main/opt_state.msgpack
2.18 MB
- Xet hash:
- 657cf2975ccbf53f0021560509f838a2dcc91bc3d66ea0669e3e7af707c18716
- Size of remote file:
- 2.18 MB
- SHA256:
- b54a593d3f47afd32c94c0f1a4c81050cd86519a6d734e6e1e3263d8454b23cf
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