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
| { | |
| "langs": [ | |
| "en", | |
| "zh" | |
| ], | |
| "model_max_length": 300, | |
| "tokenizer_class": "FSMTTokenizer", | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_bat.FSMTTokenizer", | |
| null | |
| ] | |
| } | |
| } |