Text Classification
Transformers
ONNX
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use albertmartinez/bert-multilingual-sdg-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albertmartinez/bert-multilingual-sdg-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="albertmartinez/bert-multilingual-sdg-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("albertmartinez/bert-multilingual-sdg-classification") model = AutoModelForSequenceClassification.from_pretrained("albertmartinez/bert-multilingual-sdg-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
fe08ca3
1
Parent(s): 5b96a52
Update README.md
Browse files- model.safetensors +1 -1
- training_args.bin +2 -2
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 669498432
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec796ee78f016d404eb75c66d4f685952dde16e8cd9085b308829856b7bd319a
|
| 3 |
size 669498432
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:083cc43ec3c52d3d3f2909320ed7dfdd4cd56397a51ee1512c3811ac2a1fd11a
|
| 3 |
+
size 4920
|