Instructions to use ronalhung/albert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronalhung/albert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ronalhung/albert-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ronalhung/albert-imdb") model = AutoModelForSequenceClassification.from_pretrained("ronalhung/albert-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ronalhung/albert-imdb: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/ronalhung/albert-imdb/resolve/main/training_args.bin
- Command line
-
hf download hf://ronalhung/albert-imdb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ronalhung/albert-imdb/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 5e0802002ebfd38f045a8e8f2dbe47d6e0e1a34f3a380c80af43c35258d036bf
- Size of remote file:
- 5.2 kB
- SHA256:
- 66ad8e1a578bc9c42ace4755ee4748b11d113be415be57724804ef5b5ae9d0d0
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