Instructions to use daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95/resolve/4d48b772007fe8806abdc34b213d0d404cbfb2b5/vocab.json
- Command line
-
hf download hf://daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95@4d48b772007fe8806abdc34b213d0d404cbfb2b5/vocab.json
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curl -L -o vocab.json https://huggingface.co/daniel40/424d7de6-e9cf-4f1c-91c1-0a71050e5d95/resolve/4d48b772007fe8806abdc34b213d0d404cbfb2b5/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.