Instructions to use masonanalytics/Intel-neural-chat-7b-v3-FullChat-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use masonanalytics/Intel-neural-chat-7b-v3-FullChat-512 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3") model = PeftModel.from_pretrained(base_model, "masonanalytics/Intel-neural-chat-7b-v3-FullChat-512") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 508249f243e0187484f59cd560835544534d52e5da82b48e8b37520eb793f780
- Size of remote file:
- 13.7 MB
- SHA256:
- 05003bef34c7596a5383e4b6631e69378ca65031b35254b51a38e90ddd690baa
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