Instructions to use duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb/resolve/de0c5f953d57f9e3cf2ead6e49d40db4608e7f0f/tokenizer.json
- Command line
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hf download hf://duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb@de0c5f953d57f9e3cf2ead6e49d40db4608e7f0f/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/duyphu/e514f4c6-15bd-4743-8388-5f183bc3f4fb/resolve/de0c5f953d57f9e3cf2ead6e49d40db4608e7f0f/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.