Instructions to use LocalDoc/language_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalDoc/language_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LocalDoc/language_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LocalDoc/language_detection") model = AutoModelForSequenceClassification.from_pretrained("LocalDoc/language_detection") - Notebooks
- Google Colab
- Kaggle
Delete model.safetensors
Browse files- model.safetensors +0 -3
model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:31aa48ecb881bcb0c6865ea91f475c6d55c3570c19b2482c00bbde22a0723532
|
| 3 |
-
size 1112263452
|
|
|
|
|
|
|
|
|
|
|
|