Instructions to use Peter/medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Peter/medium with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Peter/medium") model = AutoModelForSeq2SeqLM.from_pretrained("Peter/medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 337 Bytes
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"predict_gen_len": 32.4286,
"predict_loss": 0.6024884581565857,
"predict_rouge1": 81.6007,
"predict_rouge2": 75.1196,
"predict_rougeL": 81.4213,
"predict_rougeLsum": 81.4956,
"predict_runtime": 2.535,
"predict_samples": 7,
"predict_samples_per_second": 2.761,
"predict_steps_per_second": 0.789
} |