Instructions to use ajvanderwal/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ajvanderwal/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, "ajvanderwal/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbf17a561d62b4617f8b668bb2fa0bb1785c805f917bfd9c758afcce7768e2c9
- Size of remote file:
- 4.92 kB
- SHA256:
- 4361308061083375923c80af2e29c6c008f9f933cec43cc0b9de0a19d1e931cd
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