Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Ved2001/distilbert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ved2001/distilbert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ved2001/distilbert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ved2001/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("Ved2001/distilbert-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a95cf2b8d24cc001ee8867aec34861f0743b198d4d2ed2c7bafb22f91acb4102
- Size of remote file:
- 5.2 kB
- SHA256:
- a3e810a609c3b4012cc078817cd4d115ba275cd3a10e9f2710313aa7b91eb3ce
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