Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use iammartian0/sentiment_analysis_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iammartian0/sentiment_analysis_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iammartian0/sentiment_analysis_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iammartian0/sentiment_analysis_model") model = AutoModelForSequenceClassification.from_pretrained("iammartian0/sentiment_analysis_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
4216457
1
Parent(s): b2e2ce4
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 267855533
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b54c4015fcf37cdd1ce170c7603207ebdf586611917908169b863eb48f80b22
|
| 3 |
size 267855533
|
runs/Jun29_12-31-35_6902a32515f5/events.out.tfevents.1688041898.6902a32515f5.773.1
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:bf9007d5f423f1052be03c4f56c890bab3a95146d41b17944ddd814b5a2a75b1
|
| 3 |
+
size 5559
|