Translation
Transformers
Safetensors
Kannada
English
controlmt
text2text-generation
machine-translation
kannada
english
indic
low-resource
code-mix
encoder-decoder
custom_code
Eval Results (legacy)
Instructions to use anandkaman/controlmt-v2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anandkaman/controlmt-v2.3 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="anandkaman/controlmt-v2.3", trust_remote_code=True)# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("anandkaman/controlmt-v2.3", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| # Release Eval Report — flores_devtest | |
| - ckpt: `checkpoints_v23/step_255000.pt` | |
| - beam: 6 | anti_lm_alpha: 0.5 | |
| - style kn→en: **natural** | style en→kn: **natural** | |
| - test pairs: 1012 | |
| ## Aggregate scores | |
| | Metric | KN→EN | EN→KN | | |
| |--------|-------|-------| | |
| | CometKiwi (no ref) | **0.8437** | **0.8663** | | |
| | COMET-DA (with ref) | **0.8459** | **0.8443** | | |
| | BLEU | **27.20** | **18.50** | | |
| | chrF | **55.84** | **56.12** | | |
| ## Targets (CONTROLMT.md Section 10.1) | |
| - COMET-DA ship floor ≥ **0.82** / aspirational 0.85 | |
| - CometKiwi ship floor ≥ **0.75** / aspirational 0.80 |