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")# pip install -U transformers accelerate # 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
Download training_args.bin from philschmid/distilbert-imdb-habana-remote-runner: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/philschmid/distilbert-imdb-habana-remote-runner/resolve/598a8eb73c07e986732bdfb4db8c75cd77023a2e/training_args.bin
- Command line
-
hf download hf://philschmid/distilbert-imdb-habana-remote-runner@598a8eb73c07e986732bdfb4db8c75cd77023a2e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/philschmid/distilbert-imdb-habana-remote-runner/resolve/598a8eb73c07e986732bdfb4db8c75cd77023a2e/training_args.bin
3.44 kB
- Xet hash:
- 8f5e6c2a4ef4e724a1e5880516053ffda723f098420256c0d8f87f9f4d3c6d9b
- Size of remote file:
- 3.44 kB
- SHA256:
- f3e0bb6d3ab62d917d8285e2df100d5a50dafc79b13b37e5768bcba7fe1d3696
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