Instructions to use aleegis10/274d7029-e3c6-498b-b50f-b88752da67aa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/274d7029-e3c6-498b-b50f-b88752da67aa 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, "aleegis10/274d7029-e3c6-498b-b50f-b88752da67aa") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aleegis10/274d7029-e3c6-498b-b50f-b88752da67aa: direct link, hf CLI and curl.
- Browser
- Download file 34.3 MB
-
https://huggingface.co/aleegis10/274d7029-e3c6-498b-b50f-b88752da67aa/resolve/6fda08c647afeee90ab0fb068100d648a3cf54b1/tokenizer.json
- Command line
-
hf download hf://aleegis10/274d7029-e3c6-498b-b50f-b88752da67aa@6fda08c647afeee90ab0fb068100d648a3cf54b1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aleegis10/274d7029-e3c6-498b-b50f-b88752da67aa/resolve/6fda08c647afeee90ab0fb068100d648a3cf54b1/tokenizer.json
34.3 MB
- Xet hash:
- a1f3e8de7d03ad1056f0b7e3e9d70794841d0bfb2f712a3d0b42109de434c9cd
- Size of remote file:
- 34.3 MB
- SHA256:
- a63c485bbbab0efcfc1ffe32fd177108a9f70be1875ea3aacad3c4f064a5974b
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