Instructions to use YusufDagdeviren/SentimentAnalysisFromMovieReviews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YusufDagdeviren/SentimentAnalysisFromMovieReviews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YusufDagdeviren/SentimentAnalysisFromMovieReviews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YusufDagdeviren/SentimentAnalysisFromMovieReviews") model = AutoModelForSequenceClassification.from_pretrained("YusufDagdeviren/SentimentAnalysisFromMovieReviews") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd636443a232f838c41eb6df093b1240dcd11bc61821bb0e4469ff6421edfa35
|
| 3 |
+
size 469323442
|