Instructions to use robiulawaldev/5e098c79-0c43-47e8-914f-85189299018e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robiulawaldev/5e098c79-0c43-47e8-914f-85189299018e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.4") model = PeftModel.from_pretrained(base_model, "robiulawaldev/5e098c79-0c43-47e8-914f-85189299018e") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from robiulawaldev/5e098c79-0c43-47e8-914f-85189299018e: direct link, hf CLI and curl.
- Browser
- Download file 10.2 MB
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https://huggingface.co/robiulawaldev/5e098c79-0c43-47e8-914f-85189299018e/resolve/main/tokenizer.json
- Command line
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hf download hf://robiulawaldev/5e098c79-0c43-47e8-914f-85189299018e/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/robiulawaldev/5e098c79-0c43-47e8-914f-85189299018e/resolve/main/tokenizer.json
10.2 MB
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