Instructions to use prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718/resolve/main/tokenizer.json
- Command line
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hf download hf://prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/prxy5605/796390f1-75bb-4f2b-b04d-0cd06bfe4718/resolve/main/tokenizer.json
3.62 MB
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