Instructions to use tiagoblima/debug_t5-small_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagoblima/debug_t5-small_squad with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tiagoblima/debug_t5-small_squad") model = AutoModelForSeq2SeqLM.from_pretrained("tiagoblima/debug_t5-small_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval_results.json from tiagoblima/debug_t5-small_squad: direct link, hf CLI and curl.
- Browser
- Download file 190 Bytes
-
https://huggingface.co/tiagoblima/debug_t5-small_squad/resolve/main/eval_results.json
- Command line
-
hf download hf://tiagoblima/debug_t5-small_squad/eval_results.json
-
curl -L -o eval_results.json https://huggingface.co/tiagoblima/debug_t5-small_squad/resolve/main/eval_results.json
190 Bytes
| { | |
| "epoch": 2.0, | |
| "eval_loss": 1.553363561630249, | |
| "eval_runtime": 128.6101, | |
| "eval_samples": 14945, | |
| "eval_samples_per_second": 116.204, | |
| "eval_steps_per_second": 14.532 | |
| } |