Instructions to use dusersad12/StableT5-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/StableT5-TestRepo with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dusersad12/StableT5-TestRepo") model = AutoModelForSeq2SeqLM.from_pretrained("dusersad12/StableT5-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload StableT5 champion checkpoint (run_D), model card with real scores, and figures
dafb15c verified Download metrics.json from dusersad12/StableT5-TestRepo: direct link, hf CLI and curl.
- Browser
- Download file 504 Bytes
-
https://huggingface.co/dusersad12/StableT5-TestRepo/resolve/main/metrics.json
- Command line
-
hf download hf://dusersad12/StableT5-TestRepo/metrics.json
-
curl -L -o metrics.json https://huggingface.co/dusersad12/StableT5-TestRepo/resolve/main/metrics.json
504 Bytes
| { | |
| "run_id": "run_D", | |
| "metrics": { | |
| "rouge_l": 0.589, | |
| "bleu": 0.563, | |
| "bertscore_f1": 0.934, | |
| "sacrebleu": 0.570, | |
| "meteor": 0.625 | |
| }, | |
| "seeds": { | |
| "seed_42": {"rouge_l": 0.589, "bleu": 0.563, "bertscore_f1": 0.934, "sacrebleu": 0.570, "meteor": 0.625}, | |
| "seed_123": {"rouge_l": 0.581, "bleu": 0.555, "bertscore_f1": 0.928, "sacrebleu": 0.562, "meteor": 0.617}, | |
| "seed_999": {"rouge_l": 0.585, "bleu": 0.559, "bertscore_f1": 0.931, "sacrebleu": 0.566, "meteor": 0.621} | |
| } | |
| } |