Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use joebobby/finetuning-sentiment-model-5000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joebobby/finetuning-sentiment-model-5000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joebobby/finetuning-sentiment-model-5000-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joebobby/finetuning-sentiment-model-5000-samples") model = AutoModelForSequenceClassification.from_pretrained("joebobby/finetuning-sentiment-model-5000-samples") - Notebooks
- Google Colab
- Kaggle
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 438015341
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d99f01464c34812f2d65fec514632a1d5ff3e8a344753373e259c3be71c8f41a
|
| 3 |
size 438015341
|
runs/May26_05-34-02_7fed03141660/events.out.tfevents.1653543248.7fed03141660.71.2
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 sha256:0f9f796e7226f7392cd85a9a03c53a5af7fa6505d9fb4a91c0eee48d16fe2a88
|
| 3 |
+
size 6568
|
runs/May26_05-34-02_7fed03141660/events.out.tfevents.1653544919.7fed03141660.71.4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0a872ed0be5d2428104d04a7ea353ecf1b709df61f4b8901017360b81c5293dd
|
| 3 |
+
size 409
|