Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Silicon23/BERTForDetectingDepression-Twitter2020 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Silicon23/BERTForDetectingDepression-Twitter2020 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Silicon23/BERTForDetectingDepression-Twitter2020")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Silicon23/BERTForDetectingDepression-Twitter2020") model = AutoModelForSequenceClassification.from_pretrained("Silicon23/BERTForDetectingDepression-Twitter2020", device_map="auto") - 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 433270768
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:35f3f2d1ebb8c4e10cb9fde700dadae3ceb7812afe887e0cd0a8b4400e3778b0
|
| 3 |
size 433270768
|
runs/Aug01_14-04-57_1d376fbba8fb/events.out.tfevents.1722521115.1d376fbba8fb.194.10
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 sha256:777d88cc147371d25a9c7b62db44acb143d5d15a66768404712ebf1e0d349edb
|
| 3 |
+
size 9746
|