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 Modelfile from techopolis/Assistive-Technology-trainer: direct link, hf CLI and curl.
- Browser
- Download file 500 Bytes
-
https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/Modelfile
- Command line
-
hf download hf://techopolis/Assistive-Technology-trainer/Modelfile
-
curl -L -o Modelfile https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/Modelfile
500 Bytes
| FROM "./Assistive Technology" | |
| SYSTEM "Help users answer questions about assistive technology. Assist users by providing detailed and accurate information related to assistive technology, including types, uses, benefits, and considerations. Utilize up-to-date and relevant examples to enhance user understanding and engagement." | |
| PARAMETER temperature 0.7 | |
| PARAMETER top_p 0.9 | |
| TEMPLATE "<|system|>{{ .System }}<|endoftext|><|user|>{{ .Prompt }}<|endoftext|><|assistant|>{{ .Response }}<|endoftext|>" |