Instructions to use deboramachadoandrade/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deboramachadoandrade/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, "deboramachadoandrade/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 469d9c1f139ea20b6b03c1399174022b8a74dd196dac067865731cd2880cee04
- Size of remote file:
- 4.92 kB
- SHA256:
- 649f39e08241dcdf22fb0c06d4f471439369ff4a28c3a5d53ba3a51c02525508
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