Translation
Transformers
Safetensors
Indonesian
English
marian
text2text-generation
indonesian
english
fine-tuned
meeting-translation
real-time
optimized
Instructions to use dhintech/marian-tedtalks-id-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhintech/marian-tedtalks-id-en 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="dhintech/marian-tedtalks-id-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dhintech/marian-tedtalks-id-en") model = AutoModelForSeq2SeqLM.from_pretrained("dhintech/marian-tedtalks-id-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 788265d0dbaa7c8aab64d9bda81b8ec42adf871a92129fb267491b19dff31446
- Size of remote file:
- 801 kB
- SHA256:
- 2a8fefe71c7f26cb0c6aa1b9f0cc0f8d18006b20fe41c547af7f25b9c8333465
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