Instructions to use Harveenchadha/indictrans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harveenchadha/indictrans with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Harveenchadha/indictrans") model = AutoModelForSeq2SeqLM.from_pretrained("Harveenchadha/indictrans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Harveenchadha/indictrans: direct link, hf CLI and curl.
- Browser
- Download file 1.56 GB
-
https://huggingface.co/Harveenchadha/indictrans/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Harveenchadha/indictrans/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Harveenchadha/indictrans/resolve/main/pytorch_model.bin
1.56 GB
- Xet hash:
- 6e130104306205a83e4ecdcadec1d7555dee04ff30aa82acfed5fd4f75806629
- Size of remote file:
- 1.56 GB
- SHA256:
- 3fa428017d4c89b6aa1d4925a8d8935d49b497e91cd1bbd44330c4a5987717e8
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