Text Classification
Transformers
Safetensors
English
distilbert
sentiment-analysis
unknown
Eval Results (legacy)
text-embeddings-inference
Instructions to use MartinRodrigo/distilbert-sentiment-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MartinRodrigo/distilbert-sentiment-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MartinRodrigo/distilbert-sentiment-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MartinRodrigo/distilbert-sentiment-imdb") model = AutoModelForSequenceClassification.from_pretrained("MartinRodrigo/distilbert-sentiment-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f66a75e9c5bc0998a8f8fc40d224f8791e3d311bc6e1a170be78f2f4b1c210b3
- Size of remote file:
- 536 MB
- SHA256:
- 6adcb6bf2c8c9793579925b306eb5cc34fb6c11b37f65f16b410924a3f49a942
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