Question Answering
Transformers
Safetensors
trl
sft
finance
accounting
ifrs
financial-services
rag
text-generation
domain-specific-llm
Instructions to use eliashasnat/ifrsllm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eliashasnat/ifrsllm 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="eliashasnat/ifrsllm")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eliashasnat/ifrsllm", device_map="auto") - Notebooks
- Google Colab
- Kaggle