Instructions to use entity2260/opus_en_hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entity2260/opus_en_hi 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="entity2260/opus_en_hi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entity2260/opus_en_hi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("entity2260/opus_en_hi", dtype="auto")Quick Links
Configuration Parsing Warning:Invalid JSON for config file config.json
Configuration Parsing Warning:Invalid JSON for config file tokenizer_config.json
eng-hin
- source group: English
- target group: Hindi
- OPUS readme: eng-hin
- model: transformer-align
- source language(s): eng
- target language(s): hin
- model: transformer-align
- pre-processing: normalization + SentencePiece (spm32k,spm32k)
- download original weights: opus-2020-06-17.zip
- test set translations: opus-2020-06-17.test.txt
- test set scores: opus-2020-06-17.eval.txt
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# 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="entity2260/opus_en_hi")