Instructions to use JunHowie/Fin-R1-GPTQ-Int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunHowie/Fin-R1-GPTQ-Int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="JunHowie/Fin-R1-GPTQ-Int8")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("JunHowie/Fin-R1-GPTQ-Int8") model = AutoModelForMultimodalLM.from_pretrained("JunHowie/Fin-R1-GPTQ-Int8") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
a9bd01b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9ffb4bd5c40b82c8e9ee9be5eb1632ad555eb42250ccc4eece6325a37e78ba1a
size 11421895
|