Instructions to use misbah-dev/trade-parse-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use misbah-dev/trade-parse-qlora with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download misbah-dev/trade-parse-qlora --local-dir trade-parse-qlora
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download data/train.jsonl from misbah-dev/trade-parse-qlora: direct link, hf CLI and curl.
- Browser
- Download file 749 kB
-
https://huggingface.co/misbah-dev/trade-parse-qlora/resolve/main/data/train.jsonl
- Command line
-
hf download hf://misbah-dev/trade-parse-qlora/data/train.jsonl
-
curl -L -o train.jsonl https://huggingface.co/misbah-dev/trade-parse-qlora/resolve/main/data/train.jsonl
749 kB
File too large to display, you can check the raw version instead.