Text Classification
Transformers
PyTorch
TensorBoard
opt
Generated from Trainer
Eval Results (legacy)
Instructions to use amosc00/NLP_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amosc00/NLP_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amosc00/NLP_sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amosc00/NLP_sentiment") model = AutoModelForSequenceClassification.from_pretrained("amosc00/NLP_sentiment") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1324921569
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:31458192ff73fbb268124eb8460ce2c54436fe4365a0aeec91879debc8764e93
|
| 3 |
size 1324921569
|
runs/Dec25_23-01-29_pc10/events.out.tfevents.1671980498.pc10.12749.0
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:b304b9209ba03aca5d7a2ae0f6e4fc4f4ae51cb129ed51f98200f61f919ec627
|
| 3 |
+
size 4981
|