Instructions to use saadamin2k13/italian_augmented_semantic_parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saadamin2k13/italian_augmented_semantic_parser with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("saadamin2k13/italian_augmented_semantic_parser") model = AutoModelForSeq2SeqLM.from_pretrained("saadamin2k13/italian_augmented_semantic_parser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from saadamin2k13/italian_augmented_semantic_parser: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/saadamin2k13/italian_augmented_semantic_parser/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://saadamin2k13/italian_augmented_semantic_parser/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/saadamin2k13/italian_augmented_semantic_parser/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- 390e583251552bb380a5df486efba8ad5109e536856d51e76754b4523d1f25dc
- Size of remote file:
- 2.33 GB
- SHA256:
- b98f52ae6cfe83b617f68516e5a5f25c55a7f04dcc59272f9022989ac1814be1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.