Instructions to use beast33/b8d58659-a4a3-4650-b1f4-982f37ec1873 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/b8d58659-a4a3-4650-b1f4-982f37ec1873 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M") model = PeftModel.from_pretrained(base_model, "beast33/b8d58659-a4a3-4650-b1f4-982f37ec1873") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from beast33/b8d58659-a4a3-4650-b1f4-982f37ec1873: direct link, hf CLI and curl.
- Browser
- Download file 801 kB
-
https://huggingface.co/beast33/b8d58659-a4a3-4650-b1f4-982f37ec1873/resolve/main/vocab.json
- Command line
-
hf download hf://beast33/b8d58659-a4a3-4650-b1f4-982f37ec1873/vocab.json
-
curl -L -o vocab.json https://huggingface.co/beast33/b8d58659-a4a3-4650-b1f4-982f37ec1873/resolve/main/vocab.json
801 kB
File too large to display, you can check the raw version instead.