Translation
Transformers
PyTorch
IndicTrans
text2text-generation
indictrans2
ai4bharat
multilingual
custom_code
Instructions to use Raghavan/indictrans2-en-indic-dist-200M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raghavan/indictrans2-en-indic-dist-200M 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="Raghavan/indictrans2-en-indic-dist-200M", trust_remote_code=True)# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Raghavan/indictrans2-en-indic-dist-200M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fd3549cca072f59ae4125808cb3ca2c5a78bbd3b215ee2a68c5cbd9b6bf57d0
- Size of remote file:
- 1.1 GB
- SHA256:
- 52671a26e4e5f06a86b2f890dea7163db28c01fc1449a3da80d7cc990c41fef0
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