Instructions to use kabelomalapane/En-Af_update with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabelomalapane/En-Af_update 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="kabelomalapane/En-Af_update")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kabelomalapane/En-Af_update") model = AutoModelForSeq2SeqLM.from_pretrained("kabelomalapane/En-Af_update", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
update model card README.md 8bb31a8
Kabelo Malapane commited on
Training complete a66d4b2
Kabelo Malapane commited on
Training in progress, epoch 1 0f472fb
Kabelo Malapane commited on
initial commit b361e6c
Kabelo Malapane commited on