Text Classification
Transformers
ONNX
Safetensors
Transformers.js
English
bert
Intel
Eval Results (legacy)
text-embeddings-inference
Instructions to use Intel/polite-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/polite-guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/polite-guard")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/polite-guard") model = AutoModelForSequenceClassification.from_pretrained("Intel/polite-guard") - Transformers.js
How to use Intel/polite-guard with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Intel/polite-guard'); - Inference
- Notebooks
- Google Colab
- Kaggle
Add FP16 ONNX file of the model
Browse files- onnx/model_fp16.onnx +3 -0
onnx/model_fp16.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff0c00ed643c0d49cece271b9559f731ae3bd767c2e317845aa4763332e08cc3
|
| 3 |
+
size 219323688
|