Instructions to use philschmid/distilbert-imdb-habana-remote-runner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/distilbert-imdb-habana-remote-runner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="philschmid/distilbert-imdb-habana-remote-runner")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/distilbert-imdb-habana-remote-runner") model = AutoModelForSequenceClassification.from_pretrained("philschmid/distilbert-imdb-habana-remote-runner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d6ce701da0c176062a125236874cf515fb271a5205fe581e5be5fb5d78fbef8
- Size of remote file:
- 268 MB
- SHA256:
- 65f031e50e31ce71052661c7c04e1ff314a540038ad358067d5d6a24a30bacda
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