Instructions to use finalform/foamQwen2.5-7B-Coder-trl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use finalform/foamQwen2.5-7B-Coder-trl with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "finalform/foamQwen2.5-7B-Coder-trl") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from finalform/foamQwen2.5-7B-Coder-trl: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/finalform/foamQwen2.5-7B-Coder-trl/resolve/main/tokenizer.json
- Command line
-
hf download hf://finalform/foamQwen2.5-7B-Coder-trl/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/finalform/foamQwen2.5-7B-Coder-trl/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- aa6ddc71a19d6e7c740f16a3142c60859cbc566a01f28a5f7ed9a6429671073e
- Size of remote file:
- 11.4 MB
- SHA256:
- c3f9d93e80cff961819dcba7d892cf9656e086a0cf83cdbef23f10c1a493faa2
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