Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Toprak1yu/distilbert-imdb-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Toprak1yu/distilbert-imdb-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Toprak1yu/distilbert-imdb-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Toprak1yu/distilbert-imdb-classification") model = AutoModelForSequenceClassification.from_pretrained("Toprak1yu/distilbert-imdb-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 837d4521e00d6f7a943424bf3aafa1f861febb201fc51b78d30209788d5ef6af
- Size of remote file:
- 5.14 kB
- SHA256:
- b23c68c1e9d2251950d48765fcaa743809bc3258dfdde9d6bc6efefc47689051
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