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
File size: 344 Bytes
d5da66b | 1 2 3 4 5 6 7 8 9 | {
"model_name": "assistive_technology",
"output_file": "C:\\Users\\miked\\Documents\\ai training\\assistive_technology.gguf",
"precision": "f16",
"conversion_tool": "convert_hf_to_gguf.py",
"tokenizer": "llama-bpe",
"framework": "transformers",
"notes": "Model converted to GGUF format with precision f16."
} |