Text Classification
Transformers
TensorBoard
Safetensors
albert
Generated from Trainer
sentiment-analysis
Instructions to use DerivedFunction01/albert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DerivedFunction01/albert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DerivedFunction01/albert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DerivedFunction01/albert-imdb") model = AutoModelForSequenceClassification.from_pretrained("DerivedFunction01/albert-imdb") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
| 4 |
base_model: albert/albert-base-v2
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
|
|
|
| 7 |
metrics:
|
| 8 |
- accuracy
|
| 9 |
model-index:
|
|
|
|
| 4 |
base_model: albert/albert-base-v2
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
+
- sentiment-analysis
|
| 8 |
metrics:
|
| 9 |
- accuracy
|
| 10 |
model-index:
|