Instructions to use fedovtt/dad428b3-f643-454f-a068-3875b61be30b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/dad428b3-f643-454f-a068-3875b61be30b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "fedovtt/dad428b3-f643-454f-a068-3875b61be30b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fedovtt/dad428b3-f643-454f-a068-3875b61be30b: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/fedovtt/dad428b3-f643-454f-a068-3875b61be30b/resolve/main/tokenizer.json
- Command line
-
hf download hf://fedovtt/dad428b3-f643-454f-a068-3875b61be30b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fedovtt/dad428b3-f643-454f-a068-3875b61be30b/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 57f89b12645c201bc05a456a7cd61818ce2d28c0c1c0a4e67193bc3373807742
- Size of remote file:
- 17.2 MB
- SHA256:
- 14b5e679cb69af62e14c3b98d346177bd4137d882a44f87dec9efec982b01a05
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