Text Classification
Transformers
TensorBoard
Safetensors
English
bert
adult text classification
adult
adult-content
text-embeddings-inference
Instructions to use lazyghost/bert-large-uncased-Adult-Text-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lazyghost/bert-large-uncased-Adult-Text-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lazyghost/bert-large-uncased-Adult-Text-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lazyghost/bert-large-uncased-Adult-Text-Classifier") model = AutoModelForSequenceClassification.from_pretrained("lazyghost/bert-large-uncased-Adult-Text-Classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -3,6 +3,8 @@ license: apache-2.0
|
|
| 3 |
base_model: bert-large-uncased
|
| 4 |
tags:
|
| 5 |
- adult text classification
|
|
|
|
|
|
|
| 6 |
metrics:
|
| 7 |
- accuracy
|
| 8 |
model-index:
|
|
@@ -12,6 +14,7 @@ datasets:
|
|
| 12 |
- valurank/Adult-content-dataset
|
| 13 |
language:
|
| 14 |
- en
|
|
|
|
| 15 |
---
|
| 16 |
|
| 17 |
# bert-large-uncased-Adult-Text-Classifier
|
|
|
|
| 3 |
base_model: bert-large-uncased
|
| 4 |
tags:
|
| 5 |
- adult text classification
|
| 6 |
+
- adult
|
| 7 |
+
- adult-content
|
| 8 |
metrics:
|
| 9 |
- accuracy
|
| 10 |
model-index:
|
|
|
|
| 14 |
- valurank/Adult-content-dataset
|
| 15 |
language:
|
| 16 |
- en
|
| 17 |
+
pipeline_tag: text-classification
|
| 18 |
---
|
| 19 |
|
| 20 |
# bert-large-uncased-Adult-Text-Classifier
|