Translation
Transformers
PyTorch
IndicTrans
text2text-generation
indictrans2
ai4bharat
multilingual
custom_code
Instructions to use Raghavan/indictrans2-indic-en-dist-200M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raghavan/indictrans2-indic-en-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-indic-en-dist-200M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Raghavan/indictrans2-indic-en-dist-200M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Raghavan/indictrans2-indic-en-dist-200M: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/Raghavan/indictrans2-indic-en-dist-200M/resolve/main/generation_config.json
- Command line
-
hf download hf://Raghavan/indictrans2-indic-en-dist-200M/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Raghavan/indictrans2-indic-en-dist-200M/resolve/main/generation_config.json
163 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": 2, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.32.1" | |
| } | |