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:
- c7ea1561cb920b877943a887d8d864e0fe07c74c49c83b10c01398cd3c1db67c
- Size of remote file:
- 5.2 kB
- SHA256:
- 79660a0ea420de9c97137d5d01e1e0c5824253b2f6f420b68670ae5b6c77514b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.