Text Classification
Transformers
PyTorch
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use nikolasmoya/imdb-binary-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikolasmoya/imdb-binary-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nikolasmoya/imdb-binary-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nikolasmoya/imdb-binary-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("nikolasmoya/imdb-binary-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e35b41291b332670beb4019c09645ddb3056edcbc965af7c8b9dfe88b855222
- Size of remote file:
- 268 MB
- SHA256:
- f9e55af3c0b82b99b71c746815d1b7bad2199adac1b21fdd8c8a1f84dc1d88be
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