Instructions to use tiagoblima/debug_t5-base_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagoblima/debug_t5-base_squad with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tiagoblima/debug_t5-base_squad") model = AutoModelForSeq2SeqLM.from_pretrained("tiagoblima/debug_t5-base_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from tiagoblima/debug_t5-base_squad: direct link, hf CLI and curl.
- Browser
- Download file 196 Bytes
-
https://huggingface.co/tiagoblima/debug_t5-base_squad/resolve/main/train_results.json
- Command line
-
hf download hf://tiagoblima/debug_t5-base_squad/train_results.json
-
curl -L -o train_results.json https://huggingface.co/tiagoblima/debug_t5-base_squad/resolve/main/train_results.json
196 Bytes
| { | |
| "epoch": 2.0, | |
| "train_loss": 1.1475538333198987, | |
| "train_runtime": 10232.2752, | |
| "train_samples": 87599, | |
| "train_samples_per_second": 17.122, | |
| "train_steps_per_second": 0.535 | |
| } |