Instructions to use saheedniyi/YarnGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saheedniyi/YarnGPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="saheedniyi/YarnGPT")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("saheedniyi/YarnGPT") model = AutoModelForCausalLM.from_pretrained("saheedniyi/YarnGPT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bffb86da3b6114579b708a08fba589b046e475f5ec45c6c484455442d3d22567
- Size of remote file:
- 732 MB
- SHA256:
- 499d603f6ec5bf36c822af46f17b2749af0896dd48e57cd766c7929fcfd11bc7
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