Instructions to use euclaise/Ferret-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use euclaise/Ferret-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="euclaise/Ferret-3B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("euclaise/Ferret-3B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
pipeline_tag: question-answering
datasets:
- euclaise/MiniCoT
- euclaise/SciCoT
- euclaise/symtune_mini
- euclaise/mathoverflow-accepted
- euirim/goodwiki
A 3B CoT model. ChatML format. Use it however you want, consider it public domain.