Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use anonymous813ker/urgency_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous813ker/urgency_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anonymous813ker/urgency_detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anonymous813ker/urgency_detector") model = AutoModelForSequenceClassification.from_pretrained("anonymous813ker/urgency_detector") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +3 -5
- model.safetensors +2 -2
config.json
CHANGED
|
@@ -12,14 +12,12 @@
|
|
| 12 |
"hidden_dim": 3072,
|
| 13 |
"id2label": {
|
| 14 |
"0": "low",
|
| 15 |
-
"1": "
|
| 16 |
-
"2": "high"
|
| 17 |
},
|
| 18 |
"initializer_range": 0.02,
|
| 19 |
"label2id": {
|
| 20 |
-
"high":
|
| 21 |
-
"low": 0
|
| 22 |
-
"medium": 1
|
| 23 |
},
|
| 24 |
"max_position_embeddings": 512,
|
| 25 |
"model_type": "distilbert",
|
|
|
|
| 12 |
"hidden_dim": 3072,
|
| 13 |
"id2label": {
|
| 14 |
"0": "low",
|
| 15 |
+
"1": "high"
|
|
|
|
| 16 |
},
|
| 17 |
"initializer_range": 0.02,
|
| 18 |
"label2id": {
|
| 19 |
+
"high": 1,
|
| 20 |
+
"low": 0
|
|
|
|
| 21 |
},
|
| 22 |
"max_position_embeddings": 512,
|
| 23 |
"model_type": "distilbert",
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2c7329ac56e61f4051564a1dcef6a8c9364bb23c3b4c0ba6634444d85244792f
|
| 3 |
+
size 267832560
|