Instructions to use vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
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https://huggingface.co/vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0/resolve/main/vocab.json
- Command line
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hf download hf://vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0/vocab.json
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curl -L -o vocab.json https://huggingface.co/vmpsergio/df0fb091-2f67-40a0-88c9-b3cf1e03b1a0/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.