Instructions to use shrinath-suresh/bart-qa10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shrinath-suresh/bart-qa10k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shrinath-suresh/bart-qa10k") model = AutoModelForSeq2SeqLM.from_pretrained("shrinath-suresh/bart-qa10k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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| "global_step": 2692, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "epoch": 2.0, | |
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| "train_loss": 0.13270232688087588, | |
| "train_runtime": 3759.1301, | |
| "train_samples_per_second": 5.726, | |
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| } | |
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| } | |