Instructions to use Esha89/fashion-bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Esha89/fashion-bot with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Esha89/fashion-bot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Esha89/fashion-bot: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/Esha89/fashion-bot/resolve/main/training_args.bin
- Command line
-
hf download hf://Esha89/fashion-bot/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Esha89/fashion-bot/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 9668cf0683caac31737abbce9052de26be82e735ac18b0fb2a4aff0b140ee92a
- Size of remote file:
- 5.62 kB
- SHA256:
- 8b17baf6ec3069da9588e270c9da937a53a6d26b113820837a5e5beaabdc66c2
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