Translation
Transformers
TensorBoard
Safetensors
Welsh
English
m2m_100
text2text-generation
Generated from Trainer
mt-models-api-name:nllb200-cy-en
Instructions to use techiaith/nllb-200-1.3B-ft-cym-to-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techiaith/nllb-200-1.3B-ft-cym-to-eng 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="techiaith/nllb-200-1.3B-ft-cym-to-eng")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("techiaith/nllb-200-1.3B-ft-cym-to-eng") model = AutoModelForMultimodalLM.from_pretrained("techiaith/nllb-200-1.3B-ft-cym-to-eng") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b8f92310236d5d586d6cb4e4db3c46b3867a46ecf3a5272d3b757b2be0766b5
- Size of remote file:
- 483 MB
- SHA256:
- 1d0b811633d57267a33205fb6971ae21fb9ef0fea1b05ecb2573da5b30e86c3a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.