Text Classification
Transformers
TensorBoard
ONNX
Safetensors
PyTorch
English
distilbert
movie-review-sentiment
BertForSequenceClassification
Generated from Trainer
text-embeddings-inference
Instructions to use pitangent-ds/distilbert-base-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pitangent-ds/distilbert-base-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pitangent-ds/distilbert-base-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pitangent-ds/distilbert-base-imdb") model = AutoModelForSequenceClassification.from_pretrained("pitangent-ds/distilbert-base-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db500c2e0818e48641c7872de33104cd45ac524e275b1a2ddbdfdd8ef5f58a52
- Size of remote file:
- 4.6 kB
- SHA256:
- 49d2d9c9e3dbc3b222086540d1eae89b2e9b37e31a2be0485ca1aaa30fa91aad
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