Instructions to use vmpsergio/adc9e498-4e5e-46a0-90a9-d8aad46447d9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/adc9e498-4e5e-46a0-90a9-d8aad46447d9 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/adc9e498-4e5e-46a0-90a9-d8aad46447d9") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from vmpsergio/adc9e498-4e5e-46a0-90a9-d8aad46447d9: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
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https://huggingface.co/vmpsergio/adc9e498-4e5e-46a0-90a9-d8aad46447d9/resolve/main/vocab.json
- Command line
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hf download hf://vmpsergio/adc9e498-4e5e-46a0-90a9-d8aad46447d9/vocab.json
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curl -L -o vocab.json https://huggingface.co/vmpsergio/adc9e498-4e5e-46a0-90a9-d8aad46447d9/resolve/main/vocab.json
2.78 MB
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