Instructions to use kobesar/fingpt-sentiment_llama2-13b_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kobesar/fingpt-sentiment_llama2-13b_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "kobesar/fingpt-sentiment_llama2-13b_lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kobesar/fingpt-sentiment_llama2-13b_lora: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/kobesar/fingpt-sentiment_llama2-13b_lora/resolve/main/tokenizer.json
- Command line
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hf download hf://kobesar/fingpt-sentiment_llama2-13b_lora/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/kobesar/fingpt-sentiment_llama2-13b_lora/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.