Instructions to use techopolis/Assistive-Technology-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use techopolis/Assistive-Technology-trainer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-1b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "techopolis/Assistive-Technology-trainer") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from techopolis/Assistive-Technology-trainer: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://techopolis/Assistive-Technology-trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- b0284bc33da9f1ac04454001b52879e5394e917c5c2a28a9539aef8e159db3c3
- Size of remote file:
- 5.18 kB
- SHA256:
- 71769d0919cb28d710537f0bdb28c56352f9a22d1424af1738fe9feda4cf9d1c
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