Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use hwting/pretrained-distilbert-imdb-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hwting/pretrained-distilbert-imdb-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hwting/pretrained-distilbert-imdb-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hwting/pretrained-distilbert-imdb-classification") model = AutoModelForSequenceClassification.from_pretrained("hwting/pretrained-distilbert-imdb-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 923c7e20092b67c59a263aa0bf72d77e9249781ec655dbc29e99b2870f96c336
- Size of remote file:
- 5.27 kB
- SHA256:
- 52832f5414636eeec6a65991dc99e35ca2355e22270f81f7d18da49ba4995296
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