Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Minh64/XLM_Language_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Minh64/XLM_Language_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Minh64/XLM_Language_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Minh64/XLM_Language_classifier") model = AutoModelForSequenceClassification.from_pretrained("Minh64/XLM_Language_classifier") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1112205008
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd186eb8f070d2b72b5ca13ee447f2b2bb61a9047bc88e743d810d9c894488fc
|
| 3 |
size 1112205008
|
runs/May22_15-07-44_2e0341c9e5e1/events.out.tfevents.1747926466.2e0341c9e5e1.115.0
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 sha256:00cc8ada77082b03bb674b50ed1601273d1130a0c6df8afce464ce043cacd60b
|
| 3 |
+
size 7038
|