Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use MANMEET75/SentimentAnalysis-IMDB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MANMEET75/SentimentAnalysis-IMDB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MANMEET75/SentimentAnalysis-IMDB")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MANMEET75/SentimentAnalysis-IMDB") model = AutoModelForSequenceClassification.from_pretrained("MANMEET75/SentimentAnalysis-IMDB") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 454be2bcd75554fed6d62dddfb840310a5d2cd84fdfb022f77cfbc491299c67d
- Size of remote file:
- 598 MB
- SHA256:
- 3d5758219afdbefa3648bc4a944eb6ea3942968484b128ecb9bdc0cef6e218c6
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