Instructions to use jbochi/madlad400-10b-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jbochi/madlad400-10b-mt with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" 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("translation", model="jbochi/madlad400-10b-mt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jbochi/madlad400-10b-mt") model = AutoModelForSeq2SeqLM.from_pretrained("jbochi/madlad400-10b-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fine-Tune on Custom data
#3
by nikhiljais - opened
Hi all,
Has anyone finetuned this model on domain-specific data? Can you please share fine-tuning script?
Thanks