Instructions to use MAJJED/results_modified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MAJJED/results_modified with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "MAJJED/results_modified") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from MAJJED/results_modified: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/MAJJED/results_modified/resolve/main/adapter_model.bin
- Command line
-
hf download hf://MAJJED/results_modified/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/MAJJED/results_modified/resolve/main/adapter_model.bin
16.8 MB
- Xet hash:
- 37716a682ca20ddb93e90175a73760a6b7957c02426330a870173e901cd3fa62
- Size of remote file:
- 16.8 MB
- SHA256:
- 8c5f78243a57e44a9d7f8508fa8d9dd8c6ce36276ca3b862a3d5f1488f8632a9
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