Instructions to use NoobCoder10/Question_Answer_Relevance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NoobCoder10/Question_Answer_Relevance with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("abhishek/llama-2-7b-hf-small-shards") model = PeftModel.from_pretrained(base_model, "NoobCoder10/Question_Answer_Relevance") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from NoobCoder10/Question_Answer_Relevance: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/NoobCoder10/Question_Answer_Relevance/resolve/08af05e1e34bbb35c7c4be1efc91aa271b8ebaf8/tokenizer.json
- Command line
-
hf download hf://NoobCoder10/Question_Answer_Relevance@08af05e1e34bbb35c7c4be1efc91aa271b8ebaf8/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/NoobCoder10/Question_Answer_Relevance/resolve/08af05e1e34bbb35c7c4be1efc91aa271b8ebaf8/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.