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: 326 Bytes
c2d1935 524a4e1 c2d1935 524a4e1 c2d1935 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"epoch": 3.0,
"eval_gen_len": 32.4286,
"eval_loss": 0.6024884581565857,
"eval_rouge1": 81.6007,
"eval_rouge2": 75.1196,
"eval_rougeL": 81.4213,
"eval_rougeLsum": 81.4956,
"eval_runtime": 2.4585,
"eval_samples": 7,
"eval_samples_per_second": 2.847,
"eval_steps_per_second": 0.814
} |