Summarization
Transformers
Safetensors
English
llama
text-generation
text-generation-inference
trl
meta
summary
Instructions to use saishshinde15/Summmary_Model_Llama-3.2-1B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saishshinde15/Summmary_Model_Llama-3.2-1B-Instruct 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="saishshinde15/Summmary_Model_Llama-3.2-1B-Instruct")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("saishshinde15/Summmary_Model_Llama-3.2-1B-Instruct") model = AutoModelForCausalLM.from_pretrained("saishshinde15/Summmary_Model_Llama-3.2-1B-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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