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
Download config.json from dusersad12/TitanLM-FinalRepo: direct link, hf CLI and curl.
- Browser
- Download file 108 Bytes
-
https://huggingface.co/dusersad12/TitanLM-FinalRepo/resolve/main/config.json
- Command line
-
hf download hf://dusersad12/TitanLM-FinalRepo/config.json
-
curl -L -o config.json https://huggingface.co/dusersad12/TitanLM-FinalRepo/resolve/main/config.json
108 Bytes
| { | |
| "model_type": "gemma", | |
| "architectures": [ | |
| "GemmaModel" | |
| ], | |
| "checkpoint_step": 800 | |
| } |