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 assistivetechnology from techopolis/Assistive-Technology-trainer: direct link, hf CLI and curl.
- Browser
- Download file 1.04 GB
-
https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/assistivetechnology
- Command line
-
hf download hf://techopolis/Assistive-Technology-trainer/assistivetechnology
-
curl -L -o assistivetechnology https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/assistivetechnology
1.04 GB
- Xet hash:
- db816a894a4fbae81edf06c065732fafa7647df8ab13e759756b89aacad260dd
- Size of remote file:
- 1.04 GB
- SHA256:
- 03265c8700b6597c91c68bf6705fa34b27a3056cbcae8ba64e639458adeee0a7
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