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 adapter_model.safetensors from kobesar/fingpt-sentiment_llama2-13b_lora: direct link, hf CLI and curl.
- Browser
- Download file 39.4 MB
-
https://huggingface.co/kobesar/fingpt-sentiment_llama2-13b_lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://kobesar/fingpt-sentiment_llama2-13b_lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/kobesar/fingpt-sentiment_llama2-13b_lora/resolve/main/adapter_model.safetensors
39.4 MB
- Xet hash:
- d5c9e8d2401f4a398c9049d10f451cbaab7952ebe561cac5d3ce67d03be110a2
- Size of remote file:
- 39.4 MB
- SHA256:
- 3d089b29aa2b46d4e879d07c3045dd34f93dd251ddf305b39cca1349e7be9e7d
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