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 at.pth from techopolis/Assistive-Technology-trainer: direct link, hf CLI and curl.
- Browser
- Download file 595 Bytes
-
https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/at.pth
- Command line
-
hf download hf://techopolis/Assistive-Technology-trainer/at.pth
-
curl -L -o at.pth https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/at.pth
595 Bytes
- Xet hash:
- 15e036bc82ffeb2978c87ea4d114004b396b37a2a1e437d44007249fcde2c2e3
- Size of remote file:
- 595 Bytes
- SHA256:
- c244a7ba14017bf7dd89d3464380039db36d3402070fe29d2a026858676ca3db
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