Instructions to use eeeebbb2/af12f959-2447-4124-ba37-e9e3e6beee86 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/af12f959-2447-4124-ba37-e9e3e6beee86 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-7B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/af12f959-2447-4124-ba37-e9e3e6beee86") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from eeeebbb2/af12f959-2447-4124-ba37-e9e3e6beee86: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/eeeebbb2/af12f959-2447-4124-ba37-e9e3e6beee86/resolve/b5e237a706b18baf7e2a8fc72e98203280ed71be/vocab.json
- Command line
-
hf download hf://eeeebbb2/af12f959-2447-4124-ba37-e9e3e6beee86@b5e237a706b18baf7e2a8fc72e98203280ed71be/vocab.json
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curl -L -o vocab.json https://huggingface.co/eeeebbb2/af12f959-2447-4124-ba37-e9e3e6beee86/resolve/b5e237a706b18baf7e2a8fc72e98203280ed71be/vocab.json
2.78 MB
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