Instructions to use postbot/bert_uncased_tiny-multi-emails-hq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use postbot/bert_uncased_tiny-multi-emails-hq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="postbot/bert_uncased_tiny-multi-emails-hq")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("postbot/bert_uncased_tiny-multi-emails-hq") model = AutoModelForMaskedLM.from_pretrained("postbot/bert_uncased_tiny-multi-emails-hq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 7.99, | |
| "eval_accuracy": 0.4732233053015494, | |
| "eval_loss": 3.0945498943328857, | |
| "eval_runtime": 7.191, | |
| "eval_samples": 2017, | |
| "eval_samples_per_second": 280.489, | |
| "eval_steps_per_second": 140.314, | |
| "perplexity": 22.077299183356594, | |
| "train_loss": 3.6050218030916037, | |
| "train_runtime": 557.9113, | |
| "train_samples": 18139, | |
| "train_samples_per_second": 260.099, | |
| "train_steps_per_second": 2.022 | |
| } |