Instructions to use winstxnhdw/nllb-200-distilled-1.3B-ct2-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use winstxnhdw/nllb-200-distilled-1.3B-ct2-int8 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="winstxnhdw/nllb-200-distilled-1.3B-ct2-int8")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("winstxnhdw/nllb-200-distilled-1.3B-ct2-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b8d86133692d91029c1054f21c34337d36bc38bda34fa7b8f38a7b68fdfc12b
- Size of remote file:
- 1.38 GB
- SHA256:
- d02c1ceb6d79dcd3ac06583d4f84060a49d248939ad6f7b00d60853b09c18702
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