Summarization
Transformers
Safetensors
Malayalam
llama
text-generation
malayalam
dapt
text-generation-inference
Instructions to use Navneeth017/sarvam1-dapt-general with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Navneeth017/sarvam1-dapt-general 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="Navneeth017/sarvam1-dapt-general")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Navneeth017/sarvam1-dapt-general") model = AutoModelForCausalLM.from_pretrained("Navneeth017/sarvam1-dapt-general", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 1, | |
| "do_sample": true, | |
| "eos_token_id": 2, | |
| "max_length": 8192, | |
| "repetition_penalty": 1.05, | |
| "temperature": 0.1, | |
| "top_p": 0.95, | |
| "transformers_version": "5.9.0" | |
| } | |