Text Classification
Transformers
TensorBoard
Safetensors
English
llama
text-generation
llama-factory
full
Generated from Trainer
text-embeddings-inference
Instructions to use Rakancorle1/ThinkGuard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rakancorle1/ThinkGuard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rakancorle1/ThinkGuard")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Rakancorle1/ThinkGuard") model = AutoModelForCausalLM.from_pretrained("Rakancorle1/ThinkGuard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.994262174488745, | |
| "total_flos": 76511791349760.0, | |
| "train_loss": 0.29241873632015297, | |
| "train_runtime": 70414.7871, | |
| "train_samples_per_second": 1.158, | |
| "train_steps_per_second": 0.018 | |
| } |