Instructions to use Gaurav2k/IMDB_Recommender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gaurav2k/IMDB_Recommender with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gaurav2k/IMDB_Recommender")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gaurav2k/IMDB_Recommender") model = AutoModelForSequenceClassification.from_pretrained("Gaurav2k/IMDB_Recommender") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -6,7 +6,7 @@ tags:
|
|
| 6 |
language: eng
|
| 7 |
datasets: imdb
|
| 8 |
license: apache-2.0
|
| 9 |
-
library_name:
|
| 10 |
pipeline_tag: text-classification
|
| 11 |
---
|
| 12 |
|
|
|
|
| 6 |
language: eng
|
| 7 |
datasets: imdb
|
| 8 |
license: apache-2.0
|
| 9 |
+
library_name: transformers
|
| 10 |
pipeline_tag: text-classification
|
| 11 |
---
|
| 12 |
|