Instructions to use titanhacker/sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use titanhacker/sequence_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "titanhacker/sequence_classification") - Notebooks
- Google Colab
- Kaggle
Download all_results.json from titanhacker/sequence_classification: direct link, hf CLI and curl.
- Browser
- Download file 245 Bytes
-
https://huggingface.co/titanhacker/sequence_classification/resolve/main/all_results.json
- Command line
-
hf download hf://titanhacker/sequence_classification/all_results.json
-
curl -L -o all_results.json https://huggingface.co/titanhacker/sequence_classification/resolve/main/all_results.json
245 Bytes
| { | |
| "epoch": 4.0, | |
| "total_flos": 2.3738772810018816e+17, | |
| "train_loss": 0.9284627911347372, | |
| "train_runtime": 31889.2207, | |
| "train_samples": 19782, | |
| "train_samples_per_second": 2.481, | |
| "train_steps_per_second": 0.078 | |
| } |