Instructions to use CenIA/nllb-200-3.3B-spa-arn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CenIA/nllb-200-3.3B-spa-arn 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="CenIA/nllb-200-3.3B-spa-arn")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CenIA/nllb-200-3.3B-spa-arn") model = AutoModelForSeq2SeqLM.from_pretrained("CenIA/nllb-200-3.3B-spa-arn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e5958773b6970e637a47ce586040298cc31c7621dad1e114f17f31570833b17
- Size of remote file:
- 6.69 GB
- SHA256:
- ff6b025523223aa4bfa30fba4436b2066ec1f1d47e85f669fc78e95d8c239cdf
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