Instructions to use kabelomalapane/En-Tn_update with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabelomalapane/En-Tn_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-Tn_update")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kabelomalapane/En-Tn_update") model = AutoModelForSeq2SeqLM.from_pretrained("kabelomalapane/En-Tn_update", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Create new file cf4f365
Kabelo Malapane commited on
Upload vocab.json 5591855
Kabelo Malapane commited on
Upload training_args.bin d2a32f4
Kabelo Malapane commited on
Upload tokenizer_config.json 840f5a7
Kabelo Malapane commited on
Upload target.spm ab56d9b
Kabelo Malapane commited on
Upload special_tokens_map.json d069ea4
Kabelo Malapane commited on
Upload source.spm 5445203
Kabelo Malapane commited on
Upload config.json 8f60477
Kabelo Malapane commited on
Upload added_tokens.json f72d117
Kabelo Malapane commited on
Upload .gitignore 54a1e3b
Kabelo Malapane commited on
Upload pytorch_model.bin f240f32
Kabelo Malapane commited on
initial commit 1696055
Kabelo Malapane commited on