Instructions to use jgchaparro/MistrAND-7B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jgchaparro/MistrAND-7B-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "jgchaparro/MistrAND-7B-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42f7f26af60e3120f2ba06f8588e79b4a8abd048fb4ca1a8a1f9a69bb3a1739d
- Size of remote file:
- 5.11 kB
- SHA256:
- 4979c7bf271058f2a9f79047bcef528de4f0928e24beb891440ea700f8265dfe
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