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
- Xet hash:
- fe144ce243c6f6d5eda53b18856d82e151aef8590e76100e3d585ca578ebd7e2
- Size of remote file:
- 5.33 kB
- SHA256:
- cb88447b3f34022679817c1a0366de114fffb39b03703d11514bb3150778df29
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