Instructions to use tadiecool29/MTL-afriteva_v2_base-joint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tadiecool29/MTL-afriteva_v2_base-joint with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("castorini/afriteva_v2_base") model = PeftModel.from_pretrained(base_model, "tadiecool29/MTL-afriteva_v2_base-joint") - Transformers
How to use tadiecool29/MTL-afriteva_v2_base-joint with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tadiecool29/MTL-afriteva_v2_base-joint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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