Translation
Transformers
Safetensors
English
Azerbaijani
m2m_100
text2text-generation
azerbaijani
nllb
english-azerbaijani
Instructions to use LocalDoc/nllb-3.3b-en-az with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalDoc/nllb-3.3b-en-az 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="LocalDoc/nllb-3.3b-en-az")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LocalDoc/nllb-3.3b-en-az") model = AutoModelForSeq2SeqLM.from_pretrained("LocalDoc/nllb-3.3b-en-az", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d21d5a10dc4ff8730b5c9d4dc1e3116fa2f4c89bb42df65d8a2ce95d6f55852d
- Size of remote file:
- 1.7 GB
- SHA256:
- f6b4c13626ef757263972178f0aef5e488a797bd0bb3da2e9a4a4d2163170a76
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