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:
- ee80fc9abe0c0cad394a9bfdc3934cdf4ebea8c9f1e69a842c108451ad114dd2
- Size of remote file:
- 565 MB
- SHA256:
- 724dbb6e24fb25bd666c5d2f57484e5549c987b60270b180065b486a57446331
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