Text Classification
Transformers
Safetensors
llama
multi-label
question-answering
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use saiteki-kai/QA-Llama-3.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saiteki-kai/QA-Llama-3.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saiteki-kai/QA-Llama-3.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saiteki-kai/QA-Llama-3.1") model = AutoModelForSequenceClassification.from_pretrained("saiteki-kai/QA-Llama-3.1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "total_flos": 1.0625604952409506e+19, | |
| "train_loss": 0.07807489077325368, | |
| "train_runtime": 15386.354, | |
| "train_samples_per_second": 105.487, | |
| "train_steps_per_second": 1.648 | |
| } |