Instructions to use zcode/distilbert-imdb-mlflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zcode/distilbert-imdb-mlflow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zcode/distilbert-imdb-mlflow")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zcode/distilbert-imdb-mlflow") model = AutoModelForSequenceClassification.from_pretrained("zcode/distilbert-imdb-mlflow") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a37ac870a413b6ae58c005148c1f9ddb0a4a278c12b1d35de5a362982b32b6e
- Size of remote file:
- 4.22 kB
- SHA256:
- ffd801585b6e57e9c3da8025814fdb1805c17c534e46bd6468704df423e6fb94
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