Instructions to use AfriNLP/AfriNLLB-12enc-8dec-middle-548m-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AfriNLP/AfriNLLB-12enc-8dec-middle-548m-ft 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="AfriNLP/AfriNLLB-12enc-8dec-middle-548m-ft")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AfriNLP/AfriNLLB-12enc-8dec-middle-548m-ft") model = AutoModelForSeq2SeqLM.from_pretrained("AfriNLP/AfriNLLB-12enc-8dec-middle-548m-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
796af5e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e98d08cf5016670dba9098cd8fde4836ba98159b61821a591fa8b757cba041c9
size 5816
|