Instructions to use alperiox/english-date-semantic-parser-qwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alperiox/english-date-semantic-parser-qwen with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alperiox/english-date-semantic-parser-qwen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alperiox/english-date-semantic-parser-qwen: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/alperiox/english-date-semantic-parser-qwen/resolve/main/training_args.bin
- Command line
-
hf download hf://alperiox/english-date-semantic-parser-qwen/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alperiox/english-date-semantic-parser-qwen/resolve/main/training_args.bin
5.65 kB
- Xet hash:
- 32580054a492dfcf06c485019769ce818d04a111a06c15105a21b2bbca4f6254
- Size of remote file:
- 5.65 kB
- SHA256:
- dead5eccf35503946628ae2c61ff92d4388701b20e264beb952aeced052d09dc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.