Instructions to use 1-lock/7c021db3-ea33-47f8-94df-8daf194ac006 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/7c021db3-ea33-47f8-94df-8daf194ac006 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "1-lock/7c021db3-ea33-47f8-94df-8daf194ac006") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from 1-lock/7c021db3-ea33-47f8-94df-8daf194ac006: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/1-lock/7c021db3-ea33-47f8-94df-8daf194ac006/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://1-lock/7c021db3-ea33-47f8-94df-8daf194ac006/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/1-lock/7c021db3-ea33-47f8-94df-8daf194ac006/resolve/main/adapter_model.safetensors
336 MB
- Xet hash:
- d20953e5b0448b2b4838afd30246707db6583111b1922764baa7527d4b4d9923
- Size of remote file:
- 336 MB
- SHA256:
- cb0298e25052f72a7ac7379941831028ee842e72681bfc78573edfb706228a15
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