Instructions to use goodlucky55555/334f3d0d-a624-43a4-8502-9c59ac0be48e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goodlucky55555/334f3d0d-a624-43a4-8502-9c59ac0be48e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "goodlucky55555/334f3d0d-a624-43a4-8502-9c59ac0be48e") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from goodlucky55555/334f3d0d-a624-43a4-8502-9c59ac0be48e: direct link, hf CLI and curl.
- Browser
- Download file 4.24 MB
-
https://huggingface.co/goodlucky55555/334f3d0d-a624-43a4-8502-9c59ac0be48e/resolve/main/tokenizer.model
- Command line
-
hf download hf://goodlucky55555/334f3d0d-a624-43a4-8502-9c59ac0be48e/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/goodlucky55555/334f3d0d-a624-43a4-8502-9c59ac0be48e/resolve/main/tokenizer.model
4.24 MB
- Xet hash:
- fde8653f2f656fb4ab30c2a5db64ba86a916a86134355b76c3bf26a5b022b323
- Size of remote file:
- 4.24 MB
- SHA256:
- 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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