Instructions to use amantimalsina/apart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amantimalsina/apart with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.2-GPTQ") model = PeftModel.from_pretrained(base_model, "amantimalsina/apart") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2f5b2ea89198bdc9a5c53e36a1d0ceecdcc18a62b990a781d51135ada056887
- Size of remote file:
- 5.11 kB
- SHA256:
- 4699a9fb882b59c7315fc201edafbd50ede9dcafce77ba6402ffa5cfbf7c65dc
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