Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use enriquesaou/debug_seq2seq_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enriquesaou/debug_seq2seq_squad with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("enriquesaou/debug_seq2seq_squad") model = AutoModelForSeq2SeqLM.from_pretrained("enriquesaou/debug_seq2seq_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from enriquesaou/debug_seq2seq_squad: direct link, hf CLI and curl.
- Browser
- Download file 235 Bytes
-
https://huggingface.co/enriquesaou/debug_seq2seq_squad/resolve/main/train_results.json
- Command line
-
hf download hf://enriquesaou/debug_seq2seq_squad/train_results.json
-
curl -L -o train_results.json https://huggingface.co/enriquesaou/debug_seq2seq_squad/resolve/main/train_results.json
235 Bytes
| { | |
| "epoch": 2.0, | |
| "total_flos": 2.645641233904435e+16, | |
| "train_loss": 0.5331895410246172, | |
| "train_runtime": 7144.6567, | |
| "train_samples": 130319, | |
| "train_samples_per_second": 36.48, | |
| "train_steps_per_second": 3.04 | |
| } |