Instructions to use ShengdingHu/mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/mnli with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShengdingHu/mnli") model = AutoModelForSeq2SeqLM.from_pretrained("ShengdingHu/mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from ShengdingHu/mnli: direct link, hf CLI and curl.
- Browser
- Download file 198 Bytes
-
https://huggingface.co/ShengdingHu/mnli/resolve/main/train_results.json
- Command line
-
hf download hf://ShengdingHu/mnli/train_results.json
-
curl -L -o train_results.json https://huggingface.co/ShengdingHu/mnli/resolve/main/train_results.json
198 Bytes
| { | |
| "epoch": 3.0, | |
| "train_loss": 0.14615808979732375, | |
| "train_runtime": 23668.4692, | |
| "train_samples": 392702, | |
| "train_samples_per_second": 49.775, | |
| "train_steps_per_second": 1.555 | |
| } |