Instructions to use Barleysack/klue-roberta-LSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Barleysack/klue-roberta-LSTM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Barleysack/klue-roberta-LSTM") model = AutoModel.from_pretrained("Barleysack/klue-roberta-LSTM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download all_results.json from Barleysack/klue-roberta-LSTM: direct link, hf CLI and curl.
- Browser
- Download file 546 Bytes
-
https://huggingface.co/Barleysack/klue-roberta-LSTM/resolve/main/all_results.json
- Command line
-
hf download hf://Barleysack/klue-roberta-LSTM/all_results.json
-
curl -L -o all_results.json https://huggingface.co/Barleysack/klue-roberta-LSTM/resolve/main/all_results.json
546 Bytes
| { | |
| "epoch": 10.0, | |
| "eval_samples": 474, | |
| "exact_match": 68.75, | |
| "f1": 76.5876322751323, | |
| "init_mem_cpu_alloc_delta": 17783119, | |
| "init_mem_cpu_peaked_delta": 18230, | |
| "init_mem_gpu_alloc_delta": 1414861824, | |
| "init_mem_gpu_peaked_delta": 67165696, | |
| "train_mem_cpu_alloc_delta": 2991504, | |
| "train_mem_cpu_peaked_delta": 264499229, | |
| "train_mem_gpu_alloc_delta": 4256099328, | |
| "train_mem_gpu_peaked_delta": 11330810880, | |
| "train_runtime": 8323.4424, | |
| "train_samples": 7978, | |
| "train_samples_per_second": 1.199 | |
| } |