Instructions to use DouglasPontes/bertweet-2020-Q1-filtered with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DouglasPontes/bertweet-2020-Q1-filtered with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DouglasPontes/bertweet-2020-Q1-filtered")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DouglasPontes/bertweet-2020-Q1-filtered") model = AutoModelForMaskedLM.from_pretrained("DouglasPontes/bertweet-2020-Q1-filtered", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 19.57, | |
| "eval_loss": 2.686579704284668, | |
| "eval_runtime": 116.5028, | |
| "eval_samples": 103275, | |
| "eval_samples_per_second": 886.46, | |
| "eval_steps_per_second": 55.406, | |
| "perplexity": 14.68137530294196 | |
| } |