Instructions to use Go4miii/DISC-FinLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Go4miii/DISC-FinLLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Go4miii/DISC-FinLLM", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Go4miii/DISC-FinLLM", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update model card with FinTeam paper and add pipeline/library tags
#10
by nielsr HF Staff - opened
This PR improves the model card for Go4miii/DISC-FinLLM by:
- Associating it with the paper FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios, clarifying its role as a component within the FinTeam system.
- Correcting and expanding the header links to include the
FinTeampaper, the correctDISC-FinLLMtechnical report, and the GitHub repository. - Adding
pipeline_tag: text-generationto ensure discoverability for relevant tasks on the Hub. - Adding
library_name: transformersto enable the "Load with Transformers" widget, as the model is compatible with the library. - Correcting the citation section to include both the
FinTeamandDISC-FinLLMpapers.