Instructions to use Clemylia/PrisceMisty-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Clemylia/PrisceMisty-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Clemylia/PrisceMisty-v1") model = AutoModelForSeq2SeqLM.from_pretrained("Clemylia/PrisceMisty-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55f1e23f27d55302e54eaaf66faebed7081f3b1cfc3845b68061b25ae277b37d
- Size of remote file:
- 343 MB
- SHA256:
- 8d3aec40cf469adfeb3931dabd0d905e74959440fcdf607f2170e067b90b62f5
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