Instructions to use shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/input_data/Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe") - Notebooks
- Google Colab
- Kaggle
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Download README.md from shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe: direct link, hf CLI and curl.
- Browser
- Download file 834 Bytes
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https://huggingface.co/shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe/resolve/0df9d2af9e910fb0ef4d5c4605c8ccc8468459f2/README.md
- Command line
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hf download hf://shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe@0df9d2af9e910fb0ef4d5c4605c8ccc8468459f2/README.md
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curl -L -o README.md https://huggingface.co/shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe/resolve/0df9d2af9e910fb0ef4d5c4605c8ccc8468459f2/README.md
834 Bytes
| library_name: peft | |
| tags: | |
| - generated_from_trainer | |
| base_model: Intel/neural-chat-7b-v3-3 | |
| model-index: | |
| - name: shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.2243 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ### Framework versions | |
| - PEFT 0.13.2 | |
| - Transformers 4.46.0 | |
| - Pytorch 2.5.0+cu124 | |
| - Datasets 3.0.1 | |
| - Tokenizers 0.20.1 |