Instructions to use UMAR798/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UMAR798/results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("UMAR798/results") model = AutoModelForSeq2SeqLM.from_pretrained("UMAR798/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc9989208a52792613d4877eed9668d9477c059dfdaff34e6ddf4d126b7affe2
- Size of remote file:
- 5.14 kB
- SHA256:
- c5511022bce0139017b673d4c684e9a12f1442d0698b346245f6aa878c128de3
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