Instructions to use kabelomalapane/En-Tn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabelomalapane/En-Tn 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-Tn")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kabelomalapane/En-Tn") model = AutoModelForSeq2SeqLM.from_pretrained("kabelomalapane/En-Tn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fbd60627d2125249b464c77ca0cdb624a554a1671605fe53b62844fcdf2849e
- Size of remote file:
- 3.38 kB
- SHA256:
- 5c1e04f851cf1e1e43d6cf24771dc7440548b5cd0dbe8bf02a045f144d0839be
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