Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use PuxAI/PII-Binary-Filter-Extreme-Recall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PuxAI/PII-Binary-Filter-Extreme-Recall with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PuxAI/PII-Binary-Filter-Extreme-Recall")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PuxAI/PII-Binary-Filter-Extreme-Recall") model = AutoModelForSequenceClassification.from_pretrained("PuxAI/PII-Binary-Filter-Extreme-Recall", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 567300568
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:875297c320dd53d52213d5b489ab3332d36bd8ef49fcfd56c27d3305c4a5f2e6
|
| 3 |
size 567300568
|