Instructions to use KomorebiAI/nllb-200-3.3B-int8-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KomorebiAI/nllb-200-3.3B-int8-ct2 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="KomorebiAI/nllb-200-3.3B-int8-ct2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KomorebiAI/nllb-200-3.3B-int8-ct2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 209fad2cb9bf0699e4255112acdf901271ea7ae23476730348c84f75f96b77c2
- Size of remote file:
- 3.36 GB
- SHA256:
- f54d28edc415c7012b59589faca916ee53c52db09858a49a7e58849ae18e32d2
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