Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Sharpaxis/RoBERTa_AI_text_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sharpaxis/RoBERTa_AI_text_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sharpaxis/RoBERTa_AI_text_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sharpaxis/RoBERTa_AI_text_detection") model = AutoModelForSequenceClassification.from_pretrained("Sharpaxis/RoBERTa_AI_text_detection") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4500
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 267832560
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ae1c0aa78db5dcf4a2922c7a26e39dc8dd9e5292128761d74a2bcf0e81f7d3fd
|
| 3 |
size 267832560
|