Instructions to use minhnguyennnnnn/f540e02b-6ae7-4939-a6b0-1dd34f9cd401 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use minhnguyennnnnn/f540e02b-6ae7-4939-a6b0-1dd34f9cd401 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dltjdgh0928/test_instruction") model = PeftModel.from_pretrained(base_model, "minhnguyennnnnn/f540e02b-6ae7-4939-a6b0-1dd34f9cd401") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from minhnguyennnnnn/f540e02b-6ae7-4939-a6b0-1dd34f9cd401: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/minhnguyennnnnn/f540e02b-6ae7-4939-a6b0-1dd34f9cd401/resolve/main/tokenizer.json
- Command line
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hf download hf://minhnguyennnnnn/f540e02b-6ae7-4939-a6b0-1dd34f9cd401/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/minhnguyennnnnn/f540e02b-6ae7-4939-a6b0-1dd34f9cd401/resolve/main/tokenizer.json
3.51 MB
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