Instructions to use Caesaripse/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Caesaripse/mistral7binstruct_summarize with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "Caesaripse/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c153dc73f94662abaaf2c5d45350121e34c7a212c9d1861c993ca3861a62258
- Size of remote file:
- 27.3 MB
- SHA256:
- 97e2b18b045ebff9309086a5a5bab7906c4fff0e5c76af04d12154231b173ff2
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