PEFT
TensorBoard
Safetensors
llm-finetuned elsa entity-level sentiment-analysis
Generated from Trainer
Instructions to use rajiv-data-chef/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rajiv-data-chef/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("abacusai/Llama-3-Smaug-8B") model = PeftModel.from_pretrained(base_model, "rajiv-data-chef/outputs") - Notebooks
- Google Colab
- Kaggle
smaug-8b based on llama3 is finetuned on entity-level-sentiment-analysis dataset to tell the sentiment of a person mentioned in an article
f6d95d6 verified - Xet hash:
- a3d1c70ee86ae81992481ecff995d061b67a5d4ba25586b02c97777252ccdda7
- Size of remote file:
- 4.98 kB
- SHA256:
- de29813e05f8974af695ae5c904294fbfb4fea5c26bfe0eddc4cd9885475d748
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