Question Answering
Transformers
Safetensors
Malay
English
llama
text-generation
translation
summarization
tokenizer
text-generation-inference
Instructions to use uzlm/Malay-Llama-1B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uzlm/Malay-Llama-1B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="uzlm/Malay-Llama-1B-Instruct")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("uzlm/Malay-Llama-1B-Instruct") model = AutoModelForCausalLM.from_pretrained("uzlm/Malay-Llama-1B-Instruct") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 10
Model tree for uzlm/Malay-Llama-1B-Instruct
Base model
meta-llama/Llama-3.2-1B-Instruct