Instructions to use medodeyaa/dentor-helsinki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medodeyaa/dentor-helsinki 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="medodeyaa/dentor-helsinki")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("medodeyaa/dentor-helsinki") model = AutoModelForSeq2SeqLM.from_pretrained("medodeyaa/dentor-helsinki") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee998015f83e912765a1643cd9857b1a1e58cbeff760ae8bc22a339b423f90fd
- Size of remote file:
- 308 MB
- SHA256:
- d6d0270434540ec1e54c387206b27ea916831a8ccaff3ab04c7b63a03313b3cc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.