Instructions to use kabelomalapane/En-Ts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabelomalapane/En-Ts 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-Ts")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kabelomalapane/En-Ts") model = AutoModelForSeq2SeqLM.from_pretrained("kabelomalapane/En-Ts") - Notebooks
- Google Colab
- Kaggle
Kabelo Malapane commited on
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Parent(s): 006fa17
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{"source_lang": "en", "target_lang": "ts", "unk_token": "<unk>", "eos_token": "</s>", "pad_token": "<pad>", "model_max_length": 512, "sp_model_kwargs": {}, "separate_vocabs": false, "return_tensors": "tf", "special_tokens_map_file": null, "name_or_path": "Helsinki-NLP/opus-mt-en-ts", "tokenizer_class": "MarianTokenizer"}
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