Instructions to use nttx/ef573d71-68f1-4f4b-b3d6-5cf8f8305d2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/ef573d71-68f1-4f4b-b3d6-5cf8f8305d2e 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, "nttx/ef573d71-68f1-4f4b-b3d6-5cf8f8305d2e") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nttx/ef573d71-68f1-4f4b-b3d6-5cf8f8305d2e: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/nttx/ef573d71-68f1-4f4b-b3d6-5cf8f8305d2e/resolve/main/tokenizer.json
- Command line
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hf download hf://nttx/ef573d71-68f1-4f4b-b3d6-5cf8f8305d2e/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/nttx/ef573d71-68f1-4f4b-b3d6-5cf8f8305d2e/resolve/main/tokenizer.json
3.62 MB
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