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
- Xet hash:
- c0a855bf0a5a28f7a5b6e9b72ab60e6cce539d4bce842f50d487ee2d38fbb18a
- Size of remote file:
- 5.12 MB
- SHA256:
- 109e9133a353982ac28c0f59d0ec120af965e01bcb4cbd5eb0f130dd0b10619c
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