Text Classification
Transformers
PyTorch
JAX
Safetensors
English
distilbert
text-embeddings-inference
Instructions to use hidude562/Wiki-Complexity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hidude562/Wiki-Complexity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hidude562/Wiki-Complexity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hidude562/Wiki-Complexity") model = AutoModelForSequenceClassification.from_pretrained("hidude562/Wiki-Complexity") - Notebooks
- Google Colab
- Kaggle
Updated names
Browse files- config.json +2 -2
config.json
CHANGED
|
@@ -10,8 +10,8 @@
|
|
| 10 |
"dropout": 0.1,
|
| 11 |
"hidden_dim": 3072,
|
| 12 |
"id2label": {
|
| 13 |
-
"0": "
|
| 14 |
-
"1": "
|
| 15 |
},
|
| 16 |
"initializer_range": 0.02,
|
| 17 |
"label2id": {
|
|
|
|
| 10 |
"dropout": 0.1,
|
| 11 |
"hidden_dim": 3072,
|
| 12 |
"id2label": {
|
| 13 |
+
"0": "Complex writing",
|
| 14 |
+
"1": "Simplistic writing"
|
| 15 |
},
|
| 16 |
"initializer_range": 0.02,
|
| 17 |
"label2id": {
|