Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use coderSounak/finetuned_twitter_profane_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coderSounak/finetuned_twitter_profane_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coderSounak/finetuned_twitter_profane_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("coderSounak/finetuned_twitter_profane_roberta") model = AutoModelForSequenceClassification.from_pretrained("coderSounak/finetuned_twitter_profane_roberta") - Notebooks
- Google Colab
- Kaggle
Commit ·
343725a
1
Parent(s): 7fc9e6d
End of training
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498660333
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9f7044a9122e36dc6767fbc861cb26afc80d48348ffb274f76b2a93f2424f5fa
|
| 3 |
size 498660333
|
runs/Nov12_14-28-15_4d97500df13a/events.out.tfevents.1668263313.4d97500df13a.78.0
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 sha256:59cb2393aa46b47c8578f3084a020950cbf2aad9d64e46c9abaefbd6a90cc354
|
| 3 |
+
size 4687
|
runs/Nov12_14-28-15_4d97500df13a/events.out.tfevents.1668264365.4d97500df13a.78.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0782fff7c1315c4e8a16a9f5b67bbc480283e72f53dd02734825ae4086100db
|
| 3 |
+
size 512
|