Instructions to use ychenNLP/nllb-200-3.3B-easyproject with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ychenNLP/nllb-200-3.3B-easyproject 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="ychenNLP/nllb-200-3.3B-easyproject")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ychenNLP/nllb-200-3.3B-easyproject") model = AutoModelForSeq2SeqLM.from_pretrained("ychenNLP/nllb-200-3.3B-easyproject") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa12d8bc6fdc5297778bd8a428b902c51b402495e05ca59ba8fdd3721c4d9282
- Size of remote file:
- 14.5 kB
- SHA256:
- bcde1668a62ddf12ecc5f51dbb7517de8d0a7cb4d7855e902e637c0d2104e704
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