Instructions to use cunghoctienganh/978e854a-7980-4a86-b858-aeacef416224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/978e854a-7980-4a86-b858-aeacef416224 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("furiosa-ai/mlperf-gpt-j-6b") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/978e854a-7980-4a86-b858-aeacef416224") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c8cdfbde88fa85af747700177d29571b1e10e6c7abb6819300401ea31299e2e
- Size of remote file:
- 6.78 kB
- SHA256:
- 2624975197e413104c41b50aa72c89c21ce15f47c2b339297f5ff642ea465e13
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