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 tokenizer.json from techopolis/Assistive-Technology-trainer: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/tokenizer.json
- Command line
-
hf download hf://techopolis/Assistive-Technology-trainer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/techopolis/Assistive-Technology-trainer/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 11ae59f1ee9a88f89737d62fadf00b1085dda633aa25d8f95be1666e488562f4
- Size of remote file:
- 17.2 MB
- SHA256:
- 5cb41eefed8227a67dc8f574045fef959ab303ffc6cb3e2a5cab9b38e3313895
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