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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbaca791a113598c57b73ed7dc405487c5936e30c4e693b1673db3d5e57d2287
- Size of remote file:
- 5.37 kB
- SHA256:
- a5fe13046f7c7728e01abdf767049a675d81e5a21811b6b6cf7ef123e16c94b6
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