Translation
Transformers
PyTorch
Safetensors
IndicTrans
text2text-generation
indictrans2
ai4bharat
multilingual
custom_code
Instructions to use ai4bharat/indictrans2-en-indic-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai4bharat/indictrans2-en-indic-1B 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="ai4bharat/indictrans2-en-indic-1B", trust_remote_code=True)# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/indictrans2-en-indic-1B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Convert model to GGUF
#2
by pratikgujral-iitd - opened
Hi @AI4bharat Team,
Can you please create and share a GGUF model for the same? Otherwise, please provide relevant details, such as n_ctx, so that the weights can be converted to GGUF. Thanks!