Instructions to use vinitlondhe21/mistral7b-finetuned-samsum-gptq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vinitlondhe21/mistral7b-finetuned-samsum-gptq with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "vinitlondhe21/mistral7b-finetuned-samsum-gptq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 258cba902e6fe731ede36e19930ece8d72c743314e0cbcb0e856737c03d53167
- Size of remote file:
- 5.5 kB
- SHA256:
- 97227b4601b8defacd73140bd67317aff786eaa174f406ea9f5bd92c3e537ba4
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