Instructions to use dusersad12/TitanLM-FinalRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/TitanLM-FinalRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dusersad12/TitanLM-FinalRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dusersad12/TitanLM-FinalRepo") model = AutoModel.from_pretrained("dusersad12/TitanLM-FinalRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 108 Bytes
5700e80 | 1 2 3 4 5 6 7 | {
"model_type": "gemma",
"architectures": [
"GemmaModel"
],
"checkpoint_step": 800
} |