Instructions to use Alireza1044/bert_classification_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/bert_classification_lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/bert_classification_lm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/bert_classification_lm") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/bert_classification_lm") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
A simple model trained on dialogues of characters in NBC series, The Office. The model can do a binary classification between Michael Scott and Dwight Shrute's dialogues.
| Label Definitions | |
|---|---|
| Label 0 | Michael |
| Label 1 | Dwight |
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