Instructions to use rajad/albert_tag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajad/albert_tag with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rajad/albert_tag")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rajad/albert_tag") model = AutoModelForTokenClassification.from_pretrained("rajad/albert_tag") - Notebooks
- Google Colab
- Kaggle
Upload onnx/model_quantized.onnx with huggingface_hub
Browse files
onnx/model_quantized.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4580f79076a1d5261e6356a1453cdea329cf4443a43c9f5ef68c5a450b0de273
|
| 3 |
+
size 47208419
|