Translation
Transformers
Safetensors
Polish
English
t5
text2text-generation
polish
english
byt5
tokenizer-free
nlp
gradio
text-generation-inference
Instructions to use Gregniuki/pl-en-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gregniuki/pl-en-pl 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="Gregniuki/pl-en-pl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Gregniuki/pl-en-pl") model = AutoModelForSeq2SeqLM.from_pretrained("Gregniuki/pl-en-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_bleu": 62.0217, | |
| "eval_gen_len": 95.6459, | |
| "eval_loss": 0.1034100204706192, | |
| "eval_runtime": 122.1898, | |
| "eval_samples": 740, | |
| "eval_samples_per_second": 6.056, | |
| "eval_steps_per_second": 0.385 | |
| } |