Instructions to use WindyWord/translate-lua-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-lua-sv 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="WindyWord/translate-lua-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-lua-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 288 Bytes
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"bad_words_ids": [
[
60187
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],
"bos_token_id": 0,
"decoder_start_token_id": 60187,
"eos_token_id": 0,
"forced_eos_token_id": 0,
"max_length": 512,
"num_beams": 6,
"pad_token_id": 60187,
"renormalize_logits": true,
"transformers_version": "4.45.1"
}
|