Instructions to use dimasik87/ed20e542-9648-402a-845b-f096cbb99cfc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/ed20e542-9648-402a-845b-f096cbb99cfc 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, "dimasik87/ed20e542-9648-402a-845b-f096cbb99cfc") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dimasik87/ed20e542-9648-402a-845b-f096cbb99cfc: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/dimasik87/ed20e542-9648-402a-845b-f096cbb99cfc/resolve/main/tokenizer.json
- Command line
-
hf download hf://dimasik87/ed20e542-9648-402a-845b-f096cbb99cfc/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dimasik87/ed20e542-9648-402a-845b-f096cbb99cfc/resolve/main/tokenizer.json
3.51 MB
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