Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use vsmolyakov/distilbert_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsmolyakov/distilbert_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vsmolyakov/distilbert_imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vsmolyakov/distilbert_imdb") model = AutoModelForSequenceClassification.from_pretrained("vsmolyakov/distilbert_imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9f9dc5870a2f3f3cc7b57d8d7fb5db0ab16f991ce5fe5d0d505b9d1bb32f331
- Size of remote file:
- 268 MB
- SHA256:
- fef7e3b8be6d8263904aba0672ef2e9e4af71075c256512c2a1ce794c6e9b7a4
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