Instructions to use adityay1221/Pixie.30.32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adityay1221/Pixie.30.32 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("adityay1221/Pixie.30.32") model = AutoModelForSeq2SeqLM.from_pretrained("adityay1221/Pixie.30.32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25a53619f2de1ee583c6cc742f0a8aef0c825f28418b02e7de3dab35aa0c219f
- Size of remote file:
- 242 MB
- SHA256:
- 2a6d50ffc659b4c56d95391c026696254ccde8dd861839481b3d9a8df56ceb8c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.