Translation
Transformers
Safetensors
Pnar
English
m2m_100
text2text-generation
machine-translation
pnar
english
low-resource
nllb
northeast-india
austroasiatic
khasian
mwirelabs
Eval Results (legacy)
Instructions to use MWirelabs/pnar-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MWirelabs/pnar-mt 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="MWirelabs/pnar-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MWirelabs/pnar-mt") model = AutoModelForSeq2SeqLM.from_pretrained("MWirelabs/pnar-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K