Summarization
Transformers
Safetensors
GGUF
English
qwen3
text-generation
small-language-model
length-control
abstractive-summarization
saransh
text-generation-inference
Instructions to use M37labsorg/Saransh-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M37labsorg/Saransh-1.7B with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="M37labsorg/Saransh-1.7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("M37labsorg/Saransh-1.7B") model = AutoModelForCausalLM.from_pretrained("M37labsorg/Saransh-1.7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "temperature": 0.6, | |
| "top_k": 20, | |
| "top_p": 0.95, | |
| "transformers_version": "5.15.1" | |
| } | |