Instructions to use rajistics/distilbert-imdb-mlflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajistics/distilbert-imdb-mlflow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rajistics/distilbert-imdb-mlflow")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rajistics/distilbert-imdb-mlflow") model = AutoModelForSequenceClassification.from_pretrained("rajistics/distilbert-imdb-mlflow", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f954f9e84431d39ec2565d7ebf68d396b4fad4ee1061ecf7304ce93ce32c69e
- Size of remote file:
- 3.31 kB
- SHA256:
- 2448152012f6420b02eda0f174238943684984bb3e4cda8fe061978c03490336
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