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:
- c3b3aa0153fa3160ea1fc20d6bb48499e9e4b49b4a420413dff0498dcbdca58b
- Size of remote file:
- 4.99 GB
- SHA256:
- 7ad250aa6e84a46d59896040ae4b8c8b5b3c91b11a88754d3dc6b2b2f045cec3
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