Instructions to use ToastyPigeon/sparkly-3.2-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ToastyPigeon/sparkly-3.2-train with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Gryphe/Codex-24B-Small-3.2") model = PeftModel.from_pretrained(base_model, "ToastyPigeon/sparkly-3.2-train") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ToastyPigeon/sparkly-3.2-train: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/ToastyPigeon/sparkly-3.2-train/resolve/main/tokenizer.json
- Command line
-
hf download hf://ToastyPigeon/sparkly-3.2-train/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ToastyPigeon/sparkly-3.2-train/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- e2713c81b1f1e31b648552d8d1745a1215a8abe27c474284a734e4c08b309749
- Size of remote file:
- 17.1 MB
- SHA256:
- e1e5daf1e619597fd56ff036925ea189916417c665d5bdd61b80199cf8d4e6d2
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