Instructions to use handraise-dev/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use handraise-dev/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "handraise-dev/outputs") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from handraise-dev/outputs: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/handraise-dev/outputs/resolve/main/tokenizer.json
- Command line
-
hf download hf://handraise-dev/outputs/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/handraise-dev/outputs/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 71b619e28f240aa8672f3cb62df701f644e8c4b56a0445a1f39545d00da8ed18
- Size of remote file:
- 17.5 MB
- SHA256:
- c15eb04bc5ad609fb26533e8525302c5640a945e5f67f65b7c849900acda7d99
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