Image-Text-to-Image
Transformers
Safetensors
English
Hindi
glm_moe_dsa
text-generation
compressed-tensors
ai
indian
Instructions to use upmarking/kalki-2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use upmarking/kalki-2.5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("upmarking/kalki-2.5") model = AutoModelForCausalLM.from_pretrained("upmarking/kalki-2.5") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "eos_token_id": [ | |
| 154820, | |
| 154827, | |
| 154829 | |
| ], | |
| "pad_token_id": 154820, | |
| "temperature": 1.0, | |
| "top_p": 0.95, | |
| "transformers_version": "5.12.0" | |
| } |