Instructions to use michaelfeil/ct2fast-nllb-200-distilled-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-nllb-200-distilled-1.3B 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="michaelfeil/ct2fast-nllb-200-distilled-1.3B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("michaelfeil/ct2fast-nllb-200-distilled-1.3B") model = AutoModelForSeq2SeqLM.from_pretrained("michaelfeil/ct2fast-nllb-200-distilled-1.3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Getting "RuntimeError: Cannot load the target vocabulary from the model directory"
1
#1 opened almost 3 years ago
by
ulymp