Instructions to use learn3r/t5_3b_qgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/t5_3b_qgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/t5_3b_qgen") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/t5_3b_qgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from learn3r/t5_3b_qgen: direct link, hf CLI and curl.
- Browser
- Download file 197 Bytes
-
https://huggingface.co/learn3r/t5_3b_qgen/resolve/main/train_results.json
- Command line
-
hf download hf://learn3r/t5_3b_qgen/train_results.json
-
curl -L -o train_results.json https://huggingface.co/learn3r/t5_3b_qgen/resolve/main/train_results.json
197 Bytes
| { | |
| "epoch": 9.99, | |
| "train_loss": 0.6737501335422895, | |
| "train_runtime": 54303.7835, | |
| "train_samples": 87599, | |
| "train_samples_per_second": 16.131, | |
| "train_steps_per_second": 0.063 | |
| } |