Instructions to use rollerhafeezh/language-silvanus-quantization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rollerhafeezh/language-silvanus-quantization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rollerhafeezh/language-silvanus-quantization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rollerhafeezh/language-silvanus-quantization") model = AutoModelForSequenceClassification.from_pretrained("rollerhafeezh/language-silvanus-quantization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Hafidz Sanjaya commited on
Upload model_quantized.onnx with huggingface_hub
Browse files- model_quantized.onnx +3 -0
model_quantized.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:120c16e1665ffc928a657615ee0f759f7ddd4c316881766e8de13cfb051edfbe
|
| 3 |
+
size 279379288
|