Translation
Transformers
TensorBoard
Safetensors
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use sauc-abadal-lloret/opus-mt-ca-en-ft-kde4-mt-ca-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sauc-abadal-lloret/opus-mt-ca-en-ft-kde4-mt-ca-en 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="sauc-abadal-lloret/opus-mt-ca-en-ft-kde4-mt-ca-en")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("sauc-abadal-lloret/opus-mt-ca-en-ft-kde4-mt-ca-en") model = AutoModelForMultimodalLM.from_pretrained("sauc-abadal-lloret/opus-mt-ca-en-ft-kde4-mt-ca-en") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bad_words_ids": [ | |
| [ | |
| 55254 | |
| ] | |
| ], | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 55254, | |
| "eos_token_id": 0, | |
| "forced_eos_token_id": 0, | |
| "max_length": 512, | |
| "num_beams": 4, | |
| "pad_token_id": 55254, | |
| "renormalize_logits": true, | |
| "transformers_version": "4.44.2" | |
| } | |