Instructions to use ENLP/mrasp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ENLP/mrasp2 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="ENLP/mrasp2", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ENLP/mrasp2", trust_remote_code=True) model = AutoModel.from_pretrained("ENLP/mrasp2", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| # -*- coding: utf-8 -*- | |
| """ | |
| @author:cb | |
| @contact:chenbo@bat100.net | |
| @time:2023/6/6 13:25 | |
| @filename:modeling.py | |
| @software:PyCharm | |
| @description:根据bart进行改写 | |
| """ | |
| from transformers.models.bart.configuration_bart import BartConfig |