Instructions to use kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenBuddy/openbuddy-llama2-13b-v8.1-fp16") model = PeftModel.from_pretrained(base_model, "kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95: direct link, hf CLI and curl.
- Browser
- Download file 3.73 MB
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https://huggingface.co/kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95/resolve/main/tokenizer.json
- Command line
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hf download hf://kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/kokovova/be0a9b13-0296-43ee-8381-a28ce8ec1f95/resolve/main/tokenizer.json
3.73 MB
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