Instructions to use thakkkkkk/7e3633ce-fa8c-4831-b385-29873c509fdc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thakkkkkk/7e3633ce-fa8c-4831-b385-29873c509fdc 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, "thakkkkkk/7e3633ce-fa8c-4831-b385-29873c509fdc") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from thakkkkkk/7e3633ce-fa8c-4831-b385-29873c509fdc: direct link, hf CLI and curl.
- Browser
- Download file 3.73 MB
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https://huggingface.co/thakkkkkk/7e3633ce-fa8c-4831-b385-29873c509fdc/resolve/main/tokenizer.json
- Command line
-
hf download hf://thakkkkkk/7e3633ce-fa8c-4831-b385-29873c509fdc/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/thakkkkkk/7e3633ce-fa8c-4831-b385-29873c509fdc/resolve/main/tokenizer.json
3.73 MB
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