Instructions to use maksf8486/c2fb190c-1d1f-432e-88cb-3b31caf94fba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use maksf8486/c2fb190c-1d1f-432e-88cb-3b31caf94fba with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "maksf8486/c2fb190c-1d1f-432e-88cb-3b31caf94fba") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d05b4787e84638baf9354d7d35d3a019df9c051fe369bfc542d87bb7de1cd84e
- Size of remote file:
- 336 MB
- SHA256:
- afc56da7a3da3738a78d32070c63bff82f12eae5dbbecd4498d2e9228e2792dd
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