Question Answering
Transformers
Safetensors
English
French
German
llama
text-generation
finance
economics
business
financial-analysis
economic-modeling
business-intelligence
text-generation-inference
Instructions to use OVHaiLLM/Llama-Pro-Finance-70B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OVHaiLLM/Llama-Pro-Finance-70B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="OVHaiLLM/Llama-Pro-Finance-70B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("OVHaiLLM/Llama-Pro-Finance-70B") model = AutoModelForCausalLM.from_pretrained("OVHaiLLM/Llama-Pro-Finance-70B") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
Preview of files found in this repository
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