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.gguf 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/at.gguf
- Command line
-
hf download hf://techopolis/Assistive-Technology-trainer/at.gguf
-
curl -L -o at.gguf https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/at.gguf
1.04 GB
- Xet hash:
- 72edd7ad0b7d9a355da4c42dab94ca6d01bf9c923cd96bf1132dab26f50c43d4
- Size of remote file:
- 1.04 GB
- SHA256:
- 33a88c16a368e7f311936f6aaee979677cf9d07113c1f29139858da6b5c655dd
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