Text Classification
Transformers
Safetensors
bert
sentiment-analysis
imdb
Eval Results (legacy)
text-embeddings-inference
Instructions to use Nuhil000/imdb-bert-student-0-4798 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nuhil000/imdb-bert-student-0-4798 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nuhil000/imdb-bert-student-0-4798")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nuhil000/imdb-bert-student-0-4798") model = AutoModelForSequenceClassification.from_pretrained("Nuhil000/imdb-bert-student-0-4798", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 6
Evaluation results
- accuracy on IMDBself-reported0.925
- f1 on IMDBself-reported0.925