Instructions to use hsuvaskakoty/bart_temp_dm_10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsuvaskakoty/bart_temp_dm_10k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hsuvaskakoty/bart_temp_dm_10k") model = AutoModelForSeq2SeqLM.from_pretrained("hsuvaskakoty/bart_temp_dm_10k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 205 Bytes
697d2d1 | 1 2 3 4 5 6 | global_step,eval_loss,train_loss
625,0.7744697078168392,0.6349814534187317
1250,0.8020930242836475,0.5394045114517212
1875,0.8247375644445419,0.48130670189857483
2500,0.8606873774826527,0.2800898849964142
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