Instructions to use omarelsayeed/void_filteration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarelsayeed/void_filteration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("omarelsayeed/void_filteration") model = AutoModelForSeq2SeqLM.from_pretrained("omarelsayeed/void_filteration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c888e4fe1698e8b7a9e02e011ba3b5b43c24367b95b479eabddeea99bfb49075
- Size of remote file:
- 2.33 GB
- SHA256:
- 3dae3f84758b8697d4c471f524ce559187505e83d21e6965c31b088194a99cc4
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