Instructions to use 0x1202/18d7a035-4bc8-4860-a522-33f940fdb15d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/18d7a035-4bc8-4860-a522-33f940fdb15d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "0x1202/18d7a035-4bc8-4860-a522-33f940fdb15d") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from 0x1202/18d7a035-4bc8-4860-a522-33f940fdb15d: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/0x1202/18d7a035-4bc8-4860-a522-33f940fdb15d/resolve/main/adapter_model.bin
- Command line
-
hf download hf://0x1202/18d7a035-4bc8-4860-a522-33f940fdb15d/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/0x1202/18d7a035-4bc8-4860-a522-33f940fdb15d/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- 3808ae247dd7b7fcfe7a35d2711302361b72409d6414dcc49dd27bdbc1186294
- Size of remote file:
- 671 MB
- SHA256:
- 5834b4736407d813d4a94a4fb37c1bdf6961e657ca2ccce7698672c6bafcffc6
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