Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use richardshkim/imdb-distilbert-loop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use richardshkim/imdb-distilbert-loop with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="richardshkim/imdb-distilbert-loop")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("richardshkim/imdb-distilbert-loop") model = AutoModelForSequenceClassification.from_pretrained("richardshkim/imdb-distilbert-loop") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c964ecc234b11ff398b98d4f4512bc21d2d106bf84c1f3abd5ed979e1398197
- Size of remote file:
- 5.33 kB
- SHA256:
- 2860010e9213cb9f8b726c05f386825d85e68a6831d0d40a5f3cde4c4b35a332
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