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
File size: 443 Bytes
8f37d6c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"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
} |