# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("winstxnhdw/nllb-200-distilled-1.3B-ct2-int8", device_map="auto")Quick Links
nllb-200-distilled-1.3B-ct2-int8
This model is used in nllb-api.
Generation
The model was generated with the following command.
ct2-transformers-converter --model facebook/nllb-200-distilled-1.3B --quantization int8 --output_dir converted/nllb-200-distilled-1.3B-ct2-int8
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# 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="winstxnhdw/nllb-200-distilled-1.3B-ct2-int8")