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 opened 10 months ago
by
nielsr
where is the evaluation datasets?
#9 opened about 1 year ago
by
cat68
Adding `safetensors` variant of this model
#8 opened over 1 year ago
by
SFconvertbot
Full training data
#6 opened almost 2 years ago
by
rusen
Update config.json
1
#5 opened almost 2 years ago
by
chingw
Upload baichuan-incBaichuan-13B-Chat--modeling_baichuan.py
#3 opened over 2 years ago
by
CavioKay
Rename modeling_baichuan.py to baichuan-inc/Baichuan-13B-Chat--modeling_baichuan.py.
#2 opened over 2 years ago
by
CavioKay