Instructions to use Helsinki-NLP/opus-mt-en-ROMANCE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-ROMANCE 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="Helsinki-NLP/opus-mt-en-ROMANCE")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-ROMANCE") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-ROMANCE") - Inference
- Notebooks
- Google Colab
- Kaggle
Update config.json
#4
by Pranjal12345 - opened
- config.json +1 -1
config.json
CHANGED
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@@ -30,7 +30,7 @@
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| 30 |
"encoder_layers": 6,
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"eos_token_id": 0,
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"extra_pos_embeddings": 0,
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-
"force_bos_token_to_be_generated":
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| 34 |
"forced_eos_token_id": 0,
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| 35 |
"gradient_checkpointing": false,
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"id2label": {
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| 30 |
"encoder_layers": 6,
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| 31 |
"eos_token_id": 0,
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| 32 |
"extra_pos_embeddings": 0,
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| 33 |
+
"force_bos_token_to_be_generated": true,
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| 34 |
"forced_eos_token_id": 0,
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| 35 |
"gradient_checkpointing": false,
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| 36 |
"id2label": {
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