Instructions to use mrgmd01/SA_Model_bert-base-multilingual-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrgmd01/SA_Model_bert-base-multilingual-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrgmd01/SA_Model_bert-base-multilingual-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrgmd01/SA_Model_bert-base-multilingual-uncased") model = AutoModelForSequenceClassification.from_pretrained("mrgmd01/SA_Model_bert-base-multilingual-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 669458412
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e93d092386aef5d1d124cd416ec052bb18236a6e5494407afa8574e74dca1220
|
| 3 |
size 669458412
|