Question Answering
Transformers
Safetensors
Malay
English
gemma2
text-generation
llama
translation
summarization
tokenizer
text-generation-inference
Instructions to use uzlm/Malay-Gemma-2B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uzlm/Malay-Gemma-2B-Instruct with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" 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("question-answering", model="uzlm/Malay-Gemma-2B-Instruct")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("uzlm/Malay-Gemma-2B-Instruct") model = AutoModelForCausalLM.from_pretrained("uzlm/Malay-Gemma-2B-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 187 Bytes
4df6b99 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_from_model_config": true,
"bos_token_id": 2,
"cache_implementation": "hybrid",
"eos_token_id": [
1,
107
],
"pad_token_id": 0,
"transformers_version": "4.52.1"
}
|