Question Answering
Transformers
Safetensors
English
llama
text-generation
biology
medical
healthcare
text-generation-inference
Instructions to use HPAI-BSC/Llama3.1-Aloe-Beta-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPAI-BSC/Llama3.1-Aloe-Beta-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="HPAI-BSC/Llama3.1-Aloe-Beta-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("HPAI-BSC/Llama3.1-Aloe-Beta-8B") model = AutoModelForCausalLM.from_pretrained("HPAI-BSC/Llama3.1-Aloe-Beta-8B") - Notebooks
- Google Colab
- Kaggle
Ctrl+K