Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use gArthur98/Greg-Sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gArthur98/Greg-Sentiment-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gArthur98/Greg-Sentiment-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gArthur98/Greg-Sentiment-classifier") model = AutoModelForSequenceClassification.from_pretrained("gArthur98/Greg-Sentiment-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 160
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 133517429
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a426d896575bb50b63453ee87d38abd325bfeb67ad896a823abfec3939b9013
|
| 3 |
size 133517429
|
runs/Jul16_21-11-57_aa002f9c73c9/events.out.tfevents.1689541977.aa002f9c73c9.20203.2
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 sha256:7de94f4b915b4f8de3071bec7ea68e4c2c728ffe7244d04e9bb44fa0e560ac5b
|
| 3 |
+
size 8884
|