Translation
Transformers
Safetensors
Chichewa
English
marian
text2text-generation
nyanja
chichewa
low-resource
domain-adaptation
warm-up
encoder-mlm
Instructions to use kelvinmbewe/nyanja_english_warmup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kelvinmbewe/nyanja_english_warmup 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="kelvinmbewe/nyanja_english_warmup")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kelvinmbewe/nyanja_english_warmup") model = AutoModelForSeq2SeqLM.from_pretrained("kelvinmbewe/nyanja_english_warmup", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 829178525e974ffad85627a6a58237ec6eecc61f450d6d54978e39a036baed3f
- Size of remote file:
- 199 MB
- SHA256:
- 9c6b44f8050f47a2a6a8c6ee0e0c45377705b9fde279db687bf52251b613d8e7
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