Instructions to use behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters_GchatGPT_seed101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters_GchatGPT_seed101 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Trelis/Llama-2-7b-chat-hf-sharded-bf16") model = PeftModel.from_pretrained(base_model, "behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters_GchatGPT_seed101") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0c3677ac992f8257c19a032c37a644dd77ac6b5e0c19d9b3e19e7d391bd843a
- Size of remote file:
- 33.6 MB
- SHA256:
- 19265c7086f1cedd71192931662cc95ce5a51b52088d33327594ee44f382d8be
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