Instructions to use qdenisq/BertFormalityClassificiation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qdenisq/BertFormalityClassificiation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="qdenisq/BertFormalityClassificiation")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("qdenisq/BertFormalityClassificiation") model = AutoModelForMaskedLM.from_pretrained("qdenisq/BertFormalityClassificiation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 28 Bytes
62aa201 | 1 2 3 | {
"model_type": "bert"
} |